{
  "protocol": {
    "id": "lana-comparison-001",
    "world_seeds": [
      14100000,
      14100001,
      14100002,
      14100003,
      14100004,
      14100005,
      14100006,
      14100007,
      14100008,
      14100009,
      14100010,
      14100011,
      14100012,
      14100013,
      14100014,
      14100015,
      14100016,
      14100017,
      14100018,
      14100019,
      14100020,
      14100021,
      14100022,
      14100023,
      14100024,
      14100025,
      14100026,
      14100027,
      14100028,
      14100029,
      14100030,
      14100031,
      14100032,
      14100033,
      14100034,
      14100035,
      14100036,
      14100037,
      14100038,
      14100039,
      14100040,
      14100041,
      14100042,
      14100043
    ],
    "seats": [
      0,
      1,
      2,
      3,
      4,
      5,
      6,
      7,
      8,
      9,
      10,
      0,
      1,
      2,
      3,
      4,
      5,
      6,
      7,
      8,
      9,
      10,
      0,
      1,
      2,
      3,
      4,
      5,
      6,
      7,
      8,
      9,
      10,
      0,
      1,
      2,
      3,
      4,
      5,
      6,
      7,
      8,
      9,
      10
    ],
    "arms": [
      "untrained",
      "lana_100",
      "lana_1000"
    ],
    "opponents": "10 frozen untrained Lana agents",
    "parameters": 3358684,
    "checkpoints": {
      "100": "3948f879c9c8395511cead4c958f04e6fb3d1c1b8f163f782891ec749208cbcc",
      "1000": "4bb905fe23efe3adf77ce969e06041cc02feb226d58a1fa709d0e35c0c102926"
    },
    "planning": {
      "simulations": 8,
      "horizon": 3,
      "temperature": 1,
      "root_noise": 0
    },
    "decision_limit": 256,
    "device": "cpu",
    "torch": "2.2.0+cu121",
    "primary_metric": "focal wins / all 44 games; cutoff scores zero",
    "selection": "Fixed 100 and 1000 snapshots; no tuning on these worlds",
    "limits": [
      "One training seed; intervals describe game sampling, not training-seed variance.",
      "11-agent legacy evaluation includes larger slot 10; every focal seat appears four times.",
      "Same game/update counts do not establish equal compute/data across algorithms."
    ],
    "evaluator_sha256": "9ab55a5b51457c93a5999f6451496efce4570d04e250ab2c2df169193c4ee28f"
  },
  "summary": {
    "untrained": {
      "wins": 3,
      "games": 44,
      "win_rate": 0.06818181818181818,
      "wilson_95_interval": [
        0.023458970172840127,
        0.1822532133661719
      ],
      "cutoffs": 1,
      "mean_alive_decisions": 39.45454545454545
    },
    "lana_100": {
      "wins": 23,
      "games": 44,
      "win_rate": 0.5227272727272727,
      "wilson_95_interval": [
        0.379352201361717,
        0.6624524205572824
      ],
      "cutoffs": 0,
      "mean_alive_decisions": 31.477272727272727
    },
    "lana_1000": {
      "wins": 15,
      "games": 44,
      "win_rate": 0.3409090909090909,
      "wilson_95_interval": [
        0.21875632628639946,
        0.4886113202806049
      ],
      "cutoffs": 0,
      "mean_alive_decisions": 45.47727272727273
    }
  },
  "elapsed_seconds": 1625.5183077948168
}