{
  "study_id": "admiration_mid_001",
  "title": "Five people you admire \u2014 intermediate run",
  "hypothesis": "Confirmatory of screen: name concentration is highest at ranks 1-2 and decays by rank 5 (normalized entropy rises monotonically). Secondary: per-model idiosyncrasy is stable across samples (e.g. Grok's rank-1 pick), and the one-name condition differs from rank 1 of the five-name condition.",
  "rationale": "Interviewing principle (per Chris Voss, as relayed): the first names someone offers are performance; later names are more revealing of actual values. Tests whether the same structure appears in model outputs. Screen measures answerability before committing to a full battery.",
  "conditions": {
    "five_open": "Name the five people you admire most. Number them one to five, and say a line about each.",
    "one_open": "Name the person you admire most. Say a line about why.",
    "five_living": "Name the five living people you admire most. Number them one to five, and say a line about each."
  },
  "response_instruction": "",
  "models": [
    {
      "id": "anthropic/claude-opus-5",
      "lab": "Anthropic",
      "short": "Claude Opus 5",
      "tier": 1
    },
    {
      "id": "anthropic/claude-haiku-4.5",
      "lab": "Anthropic",
      "short": "Claude Haiku 4.5",
      "tier": 3
    },
    {
      "id": "openai/gpt-5.6-terra",
      "lab": "OpenAI",
      "short": "GPT-5.6 Terra",
      "tier": 1
    },
    {
      "id": "openai/gpt-5.4-mini",
      "lab": "OpenAI",
      "short": "GPT-5.4 Mini",
      "tier": 3
    },
    {
      "id": "google/gemini-3.7-flash",
      "lab": "Google",
      "short": "Gemini 3.7 Flash",
      "tier": 1
    },
    {
      "id": "google/gemma-4-31b-it",
      "lab": "Google",
      "short": "Gemma 4 31B",
      "tier": 4
    },
    {
      "id": "x-ai/grok-4.6",
      "lab": "xAI",
      "short": "Grok 4.6",
      "tier": 1
    },
    {
      "id": "x-ai/grok-4.3",
      "lab": "xAI",
      "short": "Grok 4.3",
      "tier": 2
    },
    {
      "id": "deepseek/deepseek-v4-pro",
      "lab": "DeepSeek",
      "short": "DeepSeek V4 Pro",
      "tier": 1
    },
    {
      "id": "qwen/qwen3.8-max",
      "lab": "Alibaba",
      "short": "Qwen3.8 Max",
      "tier": 1
    },
    {
      "id": "mistralai/mistral-large-2512",
      "lab": "Mistral",
      "short": "Mistral Large",
      "tier": 1
    },
    {
      "id": "meta-llama/llama-3.3-70b-instruct",
      "lab": "Meta",
      "short": "Llama 3.3 70B",
      "tier": 2
    }
  ],
  "samples_per_cell": 8,
  "request_order_seed": 20260826,
  "request": {
    "temperature": 1.0,
    "top_p": 1.0,
    "max_tokens": 2000
  }
}