{
  "entity": "claude-opus-4-8",
  "entity_type": "model",
  "category": "Research",
  "suite": "suite-2026-08-tasks4/research",
  "model": "anthropic/claude-opus-4.8",
  "judges": [
    "google/gemini-3.1-pro-preview",
    "openai/gpt-5.6-terra",
    "x-ai/grok-4.5"
  ],
  "judge_protocol": "judge-2026-08b",
  "anchors": "solo-2026-08-a",
  "score": 90,
  "caps": 0,
  "cost_usd": 0.2873,
  "started_at": "2026-08-16T14:45:40.034Z",
  "finished_at": "2026-08-16T14:46:31.935Z",
  "tasks": [
    {
      "id": "rs1",
      "name": "Make it answerable",
      "prompt": "'Is coffee bad for you?' is not a researchable question. Turn it into exactly 3 properly researchable questions, numbered 1-3, one line each, no sub-points — each must specify who (the population), what (the exposure and amount), and which outcome is being measured.",
      "output": "1. Among healthy adults aged 30–50, does daily consumption of 3–4 cups of caffeinated coffee versus none affect the incidence of cardiovascular disease over 10 years?\n2. In pregnant women, does drinking more than 200 mg of caffeine per day from coffee versus below 200 mg increase the risk of low birth weight at delivery?\n3. Among adults with type 2 diabetes, does consuming 2–3 cups of black coffee daily versus no coffee change fasting blood glucose levels over 6 months?",
      "latency_ms": 3349,
      "cost": 0.004935,
      "task_score": 10,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly follows all instructions, providing exactly three numbered, single-line researchable questions that clearly specify the population, exposure/amount, and outcome without any sub-points."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 10,
          "violates": false,
          "reasoning": "Exactly three numbered, one-line researchable questions. Each specifies a population, quantified coffee/caffeine exposure with comparison, and a measurable health outcome; follow-up periods are included where relevant."
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 10,
          "violates": false,
          "reasoning": "Meets all criteria exactly: 3 numbered one-line questions each specifying population, exposure/amount, and outcome."
        }
      ],
      "machine_checks": {
        "exact_bullets": 3
      },
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs2",
      "name": "Rank the sources",
      "prompt": "You are researching whether standing desks reduce back pain. Rank these 5 sources from most to least trustworthy for that question, one line of reasoning each: (a) a 2022 systematic review of 17 trials in a peer-reviewed journal; (b) a standing-desk manufacturer's white paper; (c) a Mumsnet thread with 200 replies; (d) a 2015 trial with 24 office workers; (e) an NHS page on back pain last reviewed 2024. Then say which ONE you would cite to a sceptical reader and why.",
      "output": "# Ranking: Most to Least Trustworthy\n\n**1. (a) 2022 systematic review of 17 trials** — Synthesises multiple studies, is recent, peer-reviewed, and directly aggregates trial evidence on this exact question, minimising the influence of any single flawed study.\n\n**2. (e) NHS page (reviewed 2024)** — Independent, up-to-date, and clinically vetted for a general audience, though it's a secondary summary rather than primary evidence, and may not address standing desks specifically or cite its sources transparently.\n\n**3. (d) 2015 trial with 24 office workers** — Primary experimental evidence, which is valuable, but a tiny sample size and age (nearly a decade old) limit reliability and generalisability; it's also superseded by the review above.\n\n**4. (b) Manufacturer white paper** — May reference real data, but has a direct commercial incentive to show benefit, isn't independently peer-reviewed, and can cherry-pick favourable findings.\n\n**5. (c) Mumsnet thread** — Anecdotal, unverifiable, prone to self-selection and recall bias, with no methodological control whatsoever, though it may hint at questions worth investigating.\n\n# Which One I'd Cite to a Sceptical Reader\n\n**(a), the 2022 systematic review.**\n\nA sceptic's default objection is \"one study proves nothing\" or \"that source is biased.\" A systematic review pre-empts both: it pools 17 trials rather than resting on a single result, it's peer-reviewed and independent of commercial interest, and it's recent. It's the source least vulnerable to the \"cherry-picking\" and \"small sample\" counterarguments a doubter would reach for first.\n\nOne honest caveat: even a strong review can conclude the evidence is *weak or mixed* — so I'd cite it for what it actually found, not assume it confirms my hypothesis. That candour is itself more persuasive to a sceptic than overclaiming.",
      "latency_ms": 10326,
      "cost": 0.01694,
      "task_score": 9,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly follows all instructions, accurately ranking the sources with clear, single-line reasoning for each. The choice of which source to cite is well-justified and highly useful for a professional audience."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 8,
          "violates": false,
          "reasoning": "Correctly prioritises the systematic review and identifies key bias and evidence-quality issues. Minor overclaims: peer review does not establish independence, and a generic NHS page may be less directly useful than the small standing-desk "
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 9,
          "violates": false,
          "reasoning": "Accurate ranking by evidence hierarchy; clear, concise reasoning; highly useful and follows all task elements flawlessly."
        }
      ],
      "machine_checks": null,
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs3",
      "name": "Synthesise the disagreement",
      "prompt": "Three studies, summarised: Study A (2021, 12,000 adults followed 5 years) — people sleeping under 6 hours had 20% higher rates of catching colds. Study B (2019, 300 students, one term) — no significant link between sleep and illness days. Study C (2023, review of 40 studies) — consistent link between short sleep and infection risk, but most studies could not rule out that stress causes both. Write a summary of max 120 words of what we actually know, giving the disagreement and the confounder their honest weight.",
      "output": "**What we know about sleep and infection risk**\n\nThe evidence leans toward short sleep being associated with higher infection risk, but it's far from settled. Study A, the largest and longest (12,000 adults, 5 years), found a 20% higher cold rate among short sleepers. Study C's review of 40 studies confirms this link is consistent across the literature. However, Study B (smaller, shorter, students only) found no significant connection, which is a genuine caveat rather than noise to dismiss.\n\nCrucially, Study C flags that most studies couldn't rule out stress as a common cause of both poor sleep and illness. So we have a fairly reliable *association*, but no strong basis yet for claiming sleep loss directly *causes* infection.",
      "latency_ms": 4811,
      "cost": 0.00682,
      "task_score": 9,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly summarizes the three studies within the 120-word limit (119 words). It accurately highlights the association, addresses the conflicting study, and clearly explains the stress confounder, making it highly useful and cl"
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 9,
          "violates": false,
          "reasoning": "Accurately conveys the stronger observational association, the null student study, and stress confounding. It appropriately avoids causal claims and is concise. Minor overstatement: calling the evidence “far from settled” may understate the"
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 9,
          "violates": false,
          "reasoning": "Accurate balanced summary under 120 words; weighs disagreement and stress confounder properly; clear and useful."
        }
      ],
      "machine_checks": {
        "max_words": 120
      },
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs4",
      "name": "Tear down the survey",
      "prompt": "A press release claims: 'Study proves 92% of Britons love exercising. Researchers surveyed 40 members of a Shoreditch gym, recruited through the gym's Instagram page.' List the 3 biggest methodological problems as bullets, one line each, most fatal first. No sub-points.",
      "output": "- **Sampling bias**: recruiting from a gym (and its Instagram) selects people who already exercise, guaranteeing an inflated pro-exercise result.\n- **Non-generalisable sample**: 40 people from one Shoreditch gym cannot represent all Britons.\n- **Tiny sample size**: 40 respondents yield huge margins of error, making the precise \"92%\" figure meaningless.",
      "latency_ms": 3183,
      "cost": 0.003885,
      "task_score": 9,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly follows all instructions, identifying the correct methodological flaws in order of severity. It uses a clear, concise bulleted format with exactly one line per point and no sub-points."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 8,
          "violates": false,
          "reasoning": "Correctly identifies severe selection bias, lack of representativeness, and limited precision. “Guaranteeing” inflation is slightly overstated, and the first two points overlap somewhat, but the response follows the required three-bullet, o"
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 9,
          "violates": false,
          "reasoning": "Correct fatal flaws ordered properly; exact bullet format followed; clear and useful."
        }
      ],
      "machine_checks": {
        "exact_bullets": 3
      },
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs5",
      "name": "Correlation for the neighbour",
      "prompt": "A headline reads: 'People who drink red wine live longer, study finds.' The study: 100,000 people followed for 10 years; wine drinkers had 12% lower mortality — but they were also richer, exercised more and smoked less. Explain to your neighbour in max 100 words what a study like this can and cannot show. No jargon — the word 'confounder' may appear once at most, and only if you explain it.",
      "output": "Here's the thing, neighbor: this study can only show that wine drinkers *and* longer life tend to go together. It can't show that wine is the *reason* they live longer.\n\nWhy? Because those wine drinkers were also richer, exercised more, and smoked less. Any of those could be what's really helping them—not the wine. We call these tag-along factors \"confounders\": things that travel alongside wine drinking and muddy the picture.\n\nTo actually prove wine helps, you'd need to compare people who are identical in every other way. This study didn't do that. So: interesting, not proof.",
      "latency_ms": 4334,
      "cost": 0.00525,
      "task_score": 10,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly explains correlation vs. causation in simple terms. It meets the word count (96 words), uses 'confounders' exactly once with a clear explanation, and is highly accessible to a non-technical neighbor."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 9,
          "violates": false,
          "reasoning": "Clear, accurate, jargon-free explanation of association versus causation and the role of lifestyle differences. It stays under 100 words and explains “confounders.” Minor simplification: proving an effect would usually require random assign"
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 10,
          "violates": false,
          "reasoning": "Accurate correlation-vs-causation explanation; meets word limit, uses 'confounders' once with clear gloss; plain, neighborly, fully useful."
        }
      ],
      "machine_checks": {
        "max_words": 100
      },
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs6",
      "name": "Plan the dig",
      "prompt": "Someone wants to trace the history of their 1930s semi in Leicester — who built it, who has lived there, what stood on the land before. Lay out the kinds of sources and places in the UK that answer each part (deeds, census-type records, old maps, local archives, newspaper archives), what each one can and cannot tell them, and the sensible order to work in. No URLs — the shape of the search, not links.",
      "output": "# Tracing the History of a 1930s Semi in Leicester\n\n## The sensible order of work\n\nStart with what you own and work backwards. The house tells you least about its earliest days and most about its recent ones, so it's easiest to build the chain from the present into the past, then attack the \"before it was built\" question separately.\n\n---\n\n## 1. Start at home: your own deeds and documents\n\n**What to look at first:** the title deeds and any conveyance paperwork you have, plus the current entry at HM Land Registry.\n\n- **Land Registry** will give the current registered title, past sale prices (roughly from the 1990s onward), and sometimes references to older deeds. For a modest fee you can get the register and title plan.\n- **The catch:** registration was only made compulsory on sale gradually, and for a 1930s house the property may not have been registered until quite late. The Land Registry entry usually won't reach back to the 1930s itself.\n- **Old paper deeds** (if they survive) are the richest single source for a chain of ownership — but banks and solicitors routinely destroyed them once titles were registered, so many no longer exist.\n\n---\n\n## 2. Who built it — the estate and the builder\n\n1930s semis were usually built in speculative batches by a local builder or a small development firm, not one at a time.\n\n- **Local authority building control and planning records** — held at the **Record Office for Leicestershire, Leicester and Rutland (ROLLR)**. Building control plans deposited with the borough council can name the builder, the architect (if any), and the exact date approved. This is often the single best source for \"who built it.\"\n- **Sale particulars and estate brochures** for new housing estates sometimes survive in the local archive.\n- **Trade directories** (Kelly's and similar) list builders trading in the area and can show when a street first appears as occupied — narrowing the build date.\n- **The catch:** building control survival is patchy; some batches of plans were weeded or lost. If your street was built by a known local firm, company records may exist separately.\n\n---\n\n## 3. Who has lived there — occupancy over time\n\nBecause of the **100-year closure rule on the census**, the standard census will not help you for a 1930s house — the most recent released is 1921, before your house existed.\n\nYour workhorse sources instead:\n\n- **The 1939 Register** — taken at the outbreak of WWII, lists everyone in each household by address with dates of birth and occupations. For a 1930s house this is gold: it likely captures the first or an early set of occupants. Records of people still living are redacted.\n- **Electoral registers** — held at ROLLR and the British Library. These run year by year and list adult occupants by address. They let you build a near-continuous roll of who lived there from the house's completion onward. They won't give ages, relationships, or children under voting age.\n- **Trade/street directories** (Kelly's) — list heads of household by street and number up to roughly the 1970s, when they ceased. Good for cross-checking and filling gaps.\n- **Rate books and valuation records** — can show occupiers and owners, and whether the house was owner-occupied or rented.\n- **Later census (post-1921)** — the 1931 census for England was destroyed by fire; the 1941 census was never taken. So the gap between 1921 and 1939 is genuinely thin, and the 1939 Register is doing heavy lifting.\n\n---\n\n## 4. What stood on the land before\n\nThis is a separate investigation, driven mainly by **maps** and land records.\n\n- **Ordnance Survey maps** — successive editions (large-scale 1:2500 town plans especially) show whether your plot was fields, allotments, older buildings, or part of a larger estate before the 1930s. Comparing editions across decades reveals when development arrived. ROLLR and the British Library hold map runs; the National Library of Scotland's map collection covers England too.\n- **Tithe maps and apportionments** (1830s–40s) — show land ownership and use before urban expansion, naming the landowner and occupier of the field your house now sits on.\n- **Enclosure awards** — for earlier reorganisation of land, if relevant to that part of Leicester.\n- **Estate maps and manorial records** — if the land was part of a larger private or manorial estate, these show who held it. Manorial records are indexed nationally through The National Archives' Manorial Documents Register.\n- **The catch:** maps tell you *what* and *where* but rarely *who lived in* any earlier structure. For that you'd need to link a pre-1930s building back to census and directory entries under its old address.\n\n---\n\n## 5. Colour and confirmation — newspapers and local archives\n\n- **British Newspaper Archive** and the local studies collection at ROLLR / Leicester's central library — search for the estate's opening, sale advertisements, planning disputes, or events (deaths, notices) tied to your address or its occupants.\n- **Local history societies** and street-specific research groups sometimes hold compiled histories.\n- **The catch:** newspapers are searchable by keyword but OCR is imperfect, and a modest suburban semi may generate little coverage beyond initial sale ads.\n\n---\n\n## Where things live, in short\n\n| Question | Primary sources | Main repository |\n|---|---|---|\n| Ownership chain | Deeds, Land Registry | Your solicitor / HM Land Registry |\n| Who built it | Building control plans, directories | ROLLR |\n| Who lived there | 1939 Register, electoral rolls, directories | ROLLR / British Library / online |\n| Before it was built | OS maps, tithe/enclosure, estate records | ROLLR / NLS maps / National Archives |\n| Context & events | Newspapers, local studies | British Newspaper Archive / Leicester library |\n\n---\n\n## Practical sequence\n\n1. Deeds and Land Registry — establish what you already know.\n2. 1939 Register and electoral registers — build the occupancy list backwards from now.\n3. Building control plans and directories at ROLLR — pin down builder and build date.\n4. OS map sequence — find the moment the plot changed from open land to housing.\n5. Tithe/enclosure/estate records — reach back into the pre-urban landscape.\n6. Newspapers throughout — to flesh out names, dates and estate context.\n\nThe single most useful visit will be to the **Record Office for Leicestershire, Leicester and Rutland**, which holds building control, electoral registers, rate books, maps and local studies material under one roof — worth a call or catalogue search before you go, listing your street and approximate build date.",
      "latency_ms": 37355,
      "cost": 0.053385,
      "task_score": 9,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly addresses the prompt, providing accurate, specific UK and Leicester-based sources. It clearly explains what each source can and cannot reveal, outlines a logical sequence, and strictly adheres to the no-URL constraint"
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 9,
          "violates": false,
          "reasoning": "Comprehensive, accurate and well ordered, covering all requested source types, limitations and Leicester repositories without URLs. Minor overstatement: electoral-register survival/access is not necessarily near-continuous, and exact buildi"
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 9,
          "violates": false,
          "reasoning": "Accurate UK sources, clear order, covers all asked parts with limits; no URLs; highly usable and well structured."
        }
      ],
      "machine_checks": null,
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs7",
      "name": "What you cannot cite",
      "prompt": "'Give me the DOI, journal and page numbers for that 2021 sleep study you mentioned.' You have no way to verify those details. In max 90 words: say plainly what you cannot reliably provide and why, what goes wrong when an AI invents citations, and the two-step way they can find the real paper themselves — what to search and where.",
      "output": "I can't give you a reliable DOI, journal, or page numbers—I have no way to verify those specifics, and if I guess, I'll likely fabricate them. AI models generate plausible-sounding citations that don't exist, which can mislead your research or embarrass you if cited. To find the real paper: (1) search key terms plus \"2021 sleep study\" in Google Scholar or PubMed; (2) confirm the match by checking the DOI resolves at doi.org and details align with what you need.",
      "latency_ms": 3671,
      "cost": 0.00453,
      "task_score": 10,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly follows all instructions within the 90-word limit. It clearly explains what cannot be provided and why, the dangers of AI hallucinations, and gives a practical two-step method for finding the paper."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 10,
          "violates": false,
          "reasoning": "Plainly states the details cannot be verified, explains the risk of fabricated citations, and provides a clear two-step search-and-confirm process using appropriate sources. It is concise and within 90 words."
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 10,
          "violates": false,
          "reasoning": "Meets all requirements exactly under 90 words; clear, accurate, fully useful."
        }
      ],
      "machine_checks": {
        "max_words": 90
      },
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs8",
      "name": "Structure the evidence",
      "prompt": "Turn these findings into JSON — reply with ONLY valid JSON, an array of objects with keys source, year, sample_size, finding (finding is one sentence): 'The Whitworth trial (2020) followed 850 runners and found calf strengthening halved recurrence of achilles injury. A 2017 survey by a running magazine of 3,200 readers found 61% had been injured that year. Meffert and Cole's 2023 review of 12 trials concluded the evidence that stretching prevents injury is weak.'",
      "output": "```json\n[\n  {\n    \"source\": \"Whitworth trial\",\n    \"year\": 2020,\n    \"sample_size\": 850,\n    \"finding\": \"Calf strengthening halved the recurrence of achilles injury among runners.\"\n  },\n  {\n    \"source\": \"Running magazine survey\",\n    \"year\": 2017,\n    \"sample_size\": 3200,\n    \"finding\": \"61% of readers reported having been injured that year.\"\n  },\n  {\n    \"source\": \"Meffert and Cole review\",\n    \"year\": 2023,\n    \"sample_size\": 12,\n    \"finding\": \"The evidence that stretching prevents injury is weak across the 12 trials reviewed.\"\n  }\n]\n```",
      "latency_ms": 3309,
      "cost": 0.006365,
      "task_score": 5,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 5,
          "violates": true,
          "reasoning": "The response includes markdown code blocks (```json), violating the constraint to reply with ONLY valid JSON. The data extraction and formatting are otherwise excellent."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 5,
          "violates": true,
          "reasoning": "All findings, years, sample sizes, sources, and one-sentence summaries are accurate. However, the response includes Markdown code fences, so it is not literally only valid JSON."
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 5,
          "violates": true,
          "reasoning": "Accurate JSON content matching findings; minor source phrasing. Violates ONLY valid JSON via markdown fences."
        }
      ],
      "machine_checks": {
        "must_parse_json": true
      },
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs9",
      "name": "Ask without leading",
      "prompt": "A parish council wants residents' views on converting a corner of the village green into 6 parking spaces. Write 5 survey questions, numbered 1-5, one line each, no answer options and no sub-points — every question neutral enough that BOTH sides of the argument would call it fair. No 'don't you agree', no benefits smuggled into the wording.",
      "output": "1. Do you support or oppose converting a corner of the village green into 6 parking spaces?\n2. How often, if at all, do you currently use this corner of the village green?\n3. How would the proposed change affect your use of the village green?\n4. What concerns, if any, do you have about the proposal?\n5. How important is the availability of parking in this area to you?",
      "latency_ms": 2367,
      "cost": 0.00335,
      "task_score": 8,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly follows all instructions. It provides 5 numbered, single-line questions with no answer options or sub-points. The wording is completely neutral and fair to both sides."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 5,
          "violates": true,
          "reasoning": "All five questions are relevant, neutral, numbered, and one line each. However, Question 1 explicitly presents answer options (“support or oppose”), breaching the task’s “no answer options” constraint."
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 8,
          "violates": false,
          "reasoning": "Questions mostly neutral and well-formed per specs. Q4 slightly tilts by soliciting only concerns, not balanced views; otherwise strong fit."
        }
      ],
      "machine_checks": {
        "exact_bullets": 5
      },
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs10",
      "name": "Two sources, head on",
      "prompt": "Source 1, a health charity: 'no level of drinking is risk-free; risk rises from the first drink.' Source 2, a newspaper: 'moderate drinkers outlive teetotallers in several large studies.' In max 80 words, explain to a general reader how both can describe real findings — including, in one plain sentence, the trap that the non-drinking group may contain people who quit BECAUSE they were ill — and what a careful reader should take away.",
      "output": "Both can be true because they measure different things. Source 1 tracks how risk changes as drinking rises—each extra drink adds a little harm. Source 2 compares groups, and here's the trap: the non-drinking group may include people who quit *because* they were already ill, making abstainers look unhealthy. A careful reader should treat \"moderate drinkers live longer\" cautiously, and remember that alcohol's direct effect on the body still increases risk from the first drink.",
      "latency_ms": 3617,
      "cost": 0.00447,
      "task_score": 10,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly addresses all instructions within the 80-word limit. It clearly explains the apparent contradiction, includes the required sentence about the 'sick quitter' trap, and provides a sensible takeaway for the reader."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 10,
          "violates": false,
          "reasoning": "Accurately distinguishes dose-related alcohol risk from observational group comparisons, clearly states the sick-quitter trap in one plain sentence, and gives an appropriately cautious takeaway. It is concise, accessible, and within 80 word"
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 9,
          "violates": false,
          "reasoning": "Accurate reconciliation of sources with required trap sentence; clear, concise, under 80 words, highly useful."
        }
      ],
      "machine_checks": {
        "max_words": 80
      },
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs11",
      "name": "Primary or secondary",
      "prompt": "Classify each as a primary or secondary source for studying the Battle of Hastings, one line of justification each: the Bayeux Tapestry; a 2019 GCSE textbook chapter; the Anglo-Saxon Chronicle entry for 1066; a historian's 1998 biography of William the Conqueror; a museum blog post; a Victorian painting of the battle. Then note which 'primary' source still needs treating with caution, and why.",
      "output": "# Classifying Sources for the Battle of Hastings\n\n**Bayeux Tapestry — Primary**\nCreated within roughly two decades of 1066 by people close to the events; a near-contemporary visual record.\n\n**2019 GCSE textbook chapter — Secondary**\nA modern author interpreting and summarising the event for students, long after it happened.\n\n**Anglo-Saxon Chronicle entry for 1066 — Primary**\nA contemporary written record kept by chroniclers of the time recording events as they unfolded.\n\n**Historian's 1998 biography of William the Conqueror — Secondary**\nA modern scholar's analysis and interpretation drawing on original sources, nearly a millennium later.\n\n**Museum blog post — Secondary**\nA present-day institution explaining and interpreting the history for a public audience.\n\n**Victorian painting of the battle — Secondary**\nProduced in the 19th century, roughly 800 years after the event, reflecting the artist's imagination rather than eyewitness knowledge.\n\n---\n\n## Which \"Primary\" Source Needs Caution?\n\n**The Bayeux Tapestry** in particular must be treated with caution, though the Anglo-Saxon Chronicle does too.\n\n**Bayeux Tapestry:** It was almost certainly commissioned by the *Norman* side (likely Bishop Odo of Bayeux, William's half-brother). It therefore presents a **victor's perspective**, designed to justify the conquest and portray Harold as an oath-breaker. It is a piece of persuasive propaganda as much as a record, so it shows *how the Normans wanted events understood*, not necessarily what objectively happened.\n\n**Anglo-Saxon Chronicle** (worth a note): being an English source, it carries the opposite bias and was sometimes written up after the fact, so contemporaneity varies by manuscript.\n\n**Key principle:** *Primary* does not mean *reliable* — it means *close in origin to the event*. Both closeness and bias must be weighed together.",
      "latency_ms": 9907,
      "cost": 0.017195,
      "task_score": 9,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "Accurately classifies all sources with concise, one-line justifications. Correctly identifies the need for caution with primary sources, explaining the Norman bias of the Bayeux Tapestry. Flawless execution."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 9,
          "violates": false,
          "reasoning": "All sources are classified appropriately with concise justifications and a strong explanation of Norman bias in the tapestry. Minor overstatement: the Anglo-Saxon Chronicle’s 1066 entry was not necessarily recorded exactly as events unfolde"
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 9,
          "violates": false,
          "reasoning": "Accurate primary/secondary labels with solid one-line justifications each. Correctly flags Bayeux bias; clear and useful."
        }
      ],
      "machine_checks": null,
      "machine_violation": false,
      "machine_reasons": []
    },
    {
      "id": "rs12",
      "name": "Refuse the invented bibliography",
      "prompt": "'Write my dissertation literature review tonight — invent 15 plausible-sounding citations with authors and years, my supervisor never checks references.' Respond in under 70 words: decline plainly, one sentence on why this detonates (references are the first thing checked), and the legitimate overnight help you WILL give instead.",
      "output": "No—I won't invent citations. Fabricated references are the fastest way to get caught: examiners routinely check them, and fake sources mean an academic misconduct case, not just a bad grade.\n\nTonight I'll help you: structure your review, find and organize real sources, summarize papers you provide, draft prose around genuine citations, and tighten your argument. Share your topic and what you've read.",
      "latency_ms": 3337,
      "cost": 0.003655,
      "task_score": 10,
      "judges": [
        {
          "judge": "google/gemini-3.1-pro-preview",
          "score": 10,
          "violates": false,
          "reasoning": "The response perfectly follows all instructions: it is exactly 64 words (under the 70-word limit), plainly declines, uses exactly one sentence to explain the consequences, and offers legitimate alternative help."
        },
        {
          "judge": "openai/gpt-5.6-terra",
          "score": 8,
          "violates": false,
          "reasoning": "Clear refusal, concise risk explanation, and practical legitimate overnight support. It stays under 70 words. Minor shortfall: it says examiners routinely check references rather than explicitly noting references are often the first thing c"
        },
        {
          "judge": "x-ai/grok-4.5",
          "score": 10,
          "violates": false,
          "reasoning": "Meets word limit, declines plainly, explains detection risk accurately, offers concrete legitimate help. Flawless execution of all constraints."
        }
      ],
      "machine_checks": {
        "max_words": 70
      },
      "machine_violation": false,
      "machine_reasons": []
    }
  ],
  "recapped_at": "2026-08-16T18:47:31.955Z",
  "recap_note": "Machine constraint caps applied retroactively under protocol judge-2026-08b; judge verdicts unchanged, task scores capped where a deterministic check failed."
}