{
  "study_id": "admiration_mid_001",
  "status": "complete",
  "started_at": "2026-08-26T19:35:26.587986+00:00",
  "completed_at": "2026-08-26T19:40:40.786061+00:00",
  "config_path": "config/admiration_mid.json",
  "config_sha256": "4c021db0f693c306b1eac7481fed7a1f913a6086cd9f6259b8f85254437d90ac",
  "runner_path": "/Users/ivanlabianca/Projects/machine-canon/src/run_study.py",
  "runner_sha256": "b667b4373fd018a65890cf4223b0acdd9ac13d2dabeeb279b111e081b00233f5",
  "git_revision": "f8185381db295d8df2ae7b9bdc7aff342efb986f",
  "python": "3.9.6",
  "planned_calls": 288,
  "workers": 10,
  "config": {
    "study_id": "admiration_mid_001",
    "title": "Five people you admire — 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
    }
  },
  "completed_calls": 288,
  "successful_calls": 285,
  "total_cost": 1.22339391422,
  "providers": [
    "AkashML",
    "Alibaba",
    "Amazon Bedrock",
    "Baidu",
    "Claude Platform on AWS",
    "Cloudflare",
    "CoreWeave",
    "DeepInfra",
    "DigitalOcean",
    "Google",
    "Google AI Studio",
    "Groq",
    "Mistral",
    "Novita",
    "OpenAI",
    "Parasail",
    "SambaNova",
    "StreamLake",
    "Together",
    "Venice",
    "xAI"
  ]
}