{
  "format": "macjev-readout-v1",
  "model_name": "Jev-Style-0.8B-Decision-v3",
  "readout": "verdict",
  "template": "macjev-render-v1",
  "slot_tokens": {
    "yes": {
      "text": " yes",
      "id": 9542
    },
    "no": {
      "text": " no",
      "id": 874
    },
    "verdict_slot": {
      "text": " ->",
      "id": 1411
    },
    "letters": {
      "A": 357,
      "B": 417,
      "C": 351,
      "D": 414,
      "E": 458,
      "F": 426,
      "G": 469,
      "H": 462,
      "I": 353,
      "J": 604,
      "K": 710,
      "L": 436,
      "M": 380,
      "N": 443,
      "O": 496,
      "P": 387,
      "Q": 1167,
      "R": 423,
      "S": 326,
      "T": 345,
      "U": 533,
      "V": 629,
      "W": 457,
      "X": 1543,
      "Y": 783,
      "Z": 1799,
      "a": 264,
      "b": 292,
      "c": 272,
      "d": 293,
      "e": 378,
      "f": 281,
      "g": 338,
      "h": 304,
      "i": 585,
      "j": 492,
      "k": 580,
      "l": 324,
      "m": 295,
      "n": 307,
      "o": 296,
      "p": 280,
      "q": 2715,
      "r": 427,
      "s": 274,
      "t": 259,
      "u": 560,
      "v": 343,
      "w": 288,
      "x": 830,
      "y": 374,
      "z": 1110
    }
  },
  "score": "per option k: logit[' yes'] - logit[' no'] at the k-th ' ->' slot, computed as h_slot . (w_yes - w_no) from the final normed hidden state and the tied embedding rows (float32)",
  "probabilities": "softmax(scores / T); T = temperatures.groups['<family>|<qtype>|<option bucket>'].T (else temperatures.global), clamped to temperatures.clamp",
  "families": {
    "typed_official*": "typed",
    "typed_synthetic*": "typed_synth",
    "general_*": "general",
    "intent*": "intent",
    "nli*": "nli",
    "theme_*": "theme",
    "mac_*": "mac",
    "long_*": "long",
    "anything else": "other (global T)"
  },
  "option_buckets": [
    "2",
    "3-5",
    "6-10",
    "11-20",
    "21+"
  ],
  "default_category": null,
  "default_category_note": "no category given -> temperatures.global (the global temperature); pass category=... for the fitted group temperature of that category's family",
  "tokenizer_sha256": "06b9509352d2af50381ab2247e083b80d32d5c0aba91c272ca9ff729b6a0e523",
  "budgets": {
    "max_len": 25600,
    "head_max": 2048,
    "hard_head_max": 2048,
    "note": "whole input <= max_len tokens, question+options+readout <= head_max; larger inputs raise InputBudgetError, nothing is truncated"
  },
  "temperatures": {
    "version": "macjev-temperatures-v1",
    "global": 0.8800546821789332,
    "groups": {
      "general|choice|3-5": {
        "T": 0.8563796906101172,
        "T_raw": 0.8524962478467872,
        "n": 600,
        "weight": 0.8571428571428571
      },
      "general|choice|6-10": {
        "T": 0.7883347591845132,
        "T_raw": 0.7797058230459033,
        "n": 1000,
        "weight": 0.9090909090909091
      },
      "general|noul|2": {
        "T": 0.9702474579038656,
        "T_raw": 1.0023209290239254,
        "n": 300,
        "weight": 0.75
      },
      "general|score|3-5": {
        "T": 0.9583320444900012,
        "T_raw": 0.9748039508642105,
        "n": 500,
        "weight": 0.8333333333333334
      },
      "intent|choice|11-20": {
        "T": 0.8536586990515279,
        "T_raw": 0.8530447902066461,
        "n": 4233,
        "weight": 0.9769213016385876
      },
      "intent|choice|21+": {
        "T": 0.7508751181814466,
        "T_raw": 0.737974406022733,
        "n": 916,
        "weight": 0.9015748031496063
      },
      "long|choice|2": {
        "T": 1.0101601686032944,
        "T_raw": 2.5327604766936602,
        "n": 15,
        "weight": 0.13043478260869565
      },
      "long|choice|3-5": {
        "T": 0.9789458925825579,
        "T_raw": 0.9984431087771811,
        "n": 540,
        "weight": 0.84375
      },
      "long|choice|6-10": {
        "T": 0.6918332634850016,
        "T_raw": 0.6260903832047418,
        "n": 241,
        "weight": 0.7067448680351907
      },
      "long|noul|2": {
        "T": 0.8183260460233314,
        "T_raw": 0.7857458244621078,
        "n": 179,
        "weight": 0.6415770609318996
      },
      "long|score|3-5": {
        "T": 0.8412851094005789,
        "T_raw": 0.7952160414763221,
        "n": 80,
        "weight": 0.4444444444444444
      },
      "mac|choice|3-5": {
        "T": 0.7640449061346866,
        "T_raw": 0.753267027600698,
        "n": 995,
        "weight": 0.908675799086758
      },
      "mac|noul|2": {
        "T": 0.922463080251143,
        "T_raw": 0.9300179680535603,
        "n": 577,
        "weight": 0.8522895125553914
      },
      "mac|score|3-5": {
        "T": 2.729450780811877,
        "T_raw": 4.999707266277221,
        "n": 187,
        "weight": 0.6515679442508711
      },
      "nli|choice|3-5": {
        "T": 1.003611674961589,
        "T_raw": 1.0108425661039413,
        "n": 1830,
        "weight": 0.9481865284974094
      },
      "theme|choice|6-10": {
        "T": 0.9848729122522978,
        "T_raw": 0.9981552921230235,
        "n": 840,
        "weight": 0.8936170212765957
      },
      "theme|noul|2": {
        "T": 0.896799495386032,
        "T_raw": 0.89763584528285,
        "n": 2022,
        "weight": 0.9528746465598492
      },
      "typed|choice|3-5": {
        "T": 0.9751541851571508,
        "T_raw": 1.0336976619219436,
        "n": 176,
        "weight": 0.6376811594202898
      },
      "typed|noul|2": {
        "T": 0.9892589014450378,
        "T_raw": 1.054189849787923,
        "n": 184,
        "weight": 0.647887323943662
      },
      "typed|score|3-5": {
        "T": 1.0056628114581752,
        "T_raw": 1.0631515969968885,
        "n": 240,
        "weight": 0.7058823529411765
      }
    },
    "clamp": [
      0.3,
      5.0
    ],
    "shrinkage_k": 100.0,
    "key": "family|qtype|option_bucket",
    "n_rows": 15655,
    "fitted_on": [
      "pool_cal.jsonl:dfb7e9beff96c6c5"
    ],
    "fit_quality": {
      "nll_before": 0.37752055301970966,
      "nll_after": 0.36671188108641545,
      "ece_before": 0.03289307373502533,
      "ece_after": 0.011376234101433989,
      "n": 15655
    }
  },
  "temperatures_sha256": "39ad8f6633934ff67770725993d7354ebebd6e7a08f73e50cab04df24715f2ce"
}