{
  "created": "2026-09-29T09:59:48.101604+00:00",
  "model": "OpenAI CLIP ViT-B/32",
  "checkpoint_sha256": "40d365715913c9da98579312b702a82c18be219cc2a73407c4526f58eba950af",
  "runtime": "Original OpenAI CLIP / PyTorch CPU float32",
  "dtype": "float32",
  "versions": {
    "torch": "2.13.0",
    "torchvision": "0.28.0",
    "Pillow": "12.3.0",
    "clip": "1.0"
  },
  "plan_sha256": "6691c931adb7509df4e4ffe1abacf183476f92b434978432b1d2f1b82361259d",
  "candidates": [
    "a photo of a zebra",
    "a photo of a horse",
    "a photo of a donkey",
    "a photo of an okapi"
  ],
  "softmax_scale": 100,
  "learned_logit_scale": 100.00000762939453,
  "softmax_note": "softmax(100 * cosine) over the same four candidates; relative share, not calibrated species probability",
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      "scores": [
        {
          "label": "a photo of a zebra",
          "cosine": 0.2233453392982483,
          "share": 0.0005355858011171222
        },
        {
          "label": "a photo of a horse",
          "cosine": 0.2979552745819092,
          "share": 0.9313177466392517
        },
        {
          "label": "a photo of a donkey",
          "cosine": 0.2718046009540558,
          "share": 0.06813779473304749
        },
        {
          "label": "a photo of an okapi",
          "cosine": 0.18235182762145996,
          "share": 8.881860594556201e-06
        }
      ],
      "winner": "a photo of a horse"
    }
  ],
  "selection_policy": "Follow-up demonstration proposed after the toucan's beak edit did not change the reference prediction substantially. Labels and scale fixed before this generation and inference; keep both attempts. One original and one edited image, no result-based image regeneration.",
  "interpretation": "Approximate generated image counterfactual. Removing stripes also changes local contrast and apparent coat colour. This is not a biological species transformation, isolated internal concept intervention, or benchmark.",
  "official_api_verified": true
}