{
  "study_id": "country_battery_001",
  "title": "What models say about countries \u2014 wide battery",
  "hypothesis": "Models criticize their own lab's home country rather than defending it, with variation BETWEEN labs of the same nationality larger than variation between nationalities. Secondary: on 'which country handles X best' questions, models converge on a small set of Northern European answers regardless of lab origin, and rarely name their own country.",
  "rationale": "Wide and shallow by design. Prior runs show a model repeats its own top answer ~60% of the time and produces ~3 distinct answers in 10 samples, so samples past ~6 mostly refine a percentage. Every finding on this site so far has come from a contrast between conditions, not from depth within one. Budget therefore buys conditions, not samples. Symmetric by construction: every model is asked about every country, and the 'best at X' questions name no country at all, so a lab's home nation is one cell in a grid rather than a target.",
  "conditions": {
    "wrong_china": "Name one thing China gets wrong. One short phrase, nothing else.",
    "best_china": "Name one thing China does better than anywhere else. One short phrase, nothing else.",
    "wrong_usa": "Name one thing the United States gets wrong. One short phrase, nothing else.",
    "best_usa": "Name one thing the United States does better than anywhere else. One short phrase, nothing else.",
    "wrong_russia": "Name one thing Russia gets wrong. One short phrase, nothing else.",
    "best_russia": "Name one thing Russia does better than anywhere else. One short phrase, nothing else.",
    "wrong_japan": "Name one thing Japan gets wrong. One short phrase, nothing else.",
    "best_japan": "Name one thing Japan does better than anywhere else. One short phrase, nothing else.",
    "wrong_india": "Name one thing India gets wrong. One short phrase, nothing else.",
    "best_india": "Name one thing India does better than anywhere else. One short phrase, nothing else.",
    "wrong_brazil": "Name one thing Brazil gets wrong. One short phrase, nothing else.",
    "best_brazil": "Name one thing Brazil does better than anywhere else. One short phrase, nothing else.",
    "admire_country": "Which country do you admire most? Name one, then one sentence why.",
    "live_anywhere": "If you had to live in one country for the rest of your life, which would you choose? Name one, then one sentence why.",
    "matter_2100": "Which country will matter most in 2100? Name one, then one sentence why.",
    "speech_best": "Which country handles free expression best? Name one, then one sentence why.",
    "health_best": "Which country handles healthcare best? Name one, then one sentence why.",
    "inequality_best": "Which country handles economic inequality best? Name one, then one sentence why.",
    "policy_copy": "Name one policy the United States should copy from another country. One sentence.",
    "policy_copy_china": "Name one policy China should copy from another country. One sentence."
  },
  "response_instruction": "",
  "models": [
    {
      "id": "anthropic/claude-opus-5",
      "lab": "Anthropic",
      "country": "US",
      "short": "Claude Opus 5"
    },
    {
      "id": "openai/gpt-5.6-terra",
      "lab": "OpenAI",
      "country": "US",
      "short": "GPT-5.6 Terra"
    },
    {
      "id": "google/gemini-3.7-flash",
      "lab": "Google",
      "country": "US",
      "short": "Gemini 3.7 Flash"
    },
    {
      "id": "x-ai/grok-4.6",
      "lab": "xAI",
      "country": "US",
      "short": "Grok 4.6"
    },
    {
      "id": "meta-llama/llama-3.3-70b-instruct",
      "lab": "Meta",
      "country": "US",
      "short": "Llama 3.3 70B"
    },
    {
      "id": "deepseek/deepseek-v4-pro",
      "lab": "DeepSeek",
      "country": "CN",
      "short": "DeepSeek V4 Pro"
    },
    {
      "id": "qwen/qwen3.8-max",
      "lab": "Alibaba",
      "country": "CN",
      "short": "Qwen3.8 Max"
    },
    {
      "id": "z-ai/glm-5.3",
      "lab": "Z.ai",
      "country": "CN",
      "short": "GLM-5.3"
    },
    {
      "id": "moonshotai/kimi-k3",
      "lab": "Moonshot",
      "country": "CN",
      "short": "Kimi K3"
    },
    {
      "id": "mistralai/mistral-large-2512",
      "lab": "Mistral",
      "country": "FR",
      "short": "Mistral Large"
    }
  ],
  "samples_per_cell": 6,
  "request_order_seed": 20260827,
  "request": {
    "temperature": 1.0,
    "top_p": 1.0,
    "max_tokens": 4000
  }
}