{
  "observed_summary": [
    {
      "ITI_seconds": 30.0,
      "IRI_seconds": 34.25,
      "n_learners": 5,
      "mean": 176.2,
      "sd": 81.23238270542112,
      "sem": 36.328225940719975,
      "nominal_time_proxy_seconds": 6034.849999999999
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    {
      "ITI_seconds": 60.0,
      "IRI_seconds": 64.25,
      "n_learners": 17,
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      "ITI_seconds": 300.0,
      "IRI_seconds": 304.25,
      "n_learners": 6,
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      "sem": 4.046946722873651,
      "nominal_time_proxy_seconds": 5070.833333333334
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    {
      "ITI_seconds": 600.0,
      "IRI_seconds": 604.25,
      "n_learners": 19,
      "mean": 8.789473684210526,
      "sd": 2.6157418189029844,
      "sem": 0.6000923289995462,
      "nominal_time_proxy_seconds": 5311.03947368421
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    {
      "ITI_seconds": 3600.0,
      "IRI_seconds": 3604.25,
      "n_learners": 5,
      "mean": 3.6,
      "sd": 0.5477225575051661,
      "sem": 0.24494897427831777,
      "nominal_time_proxy_seconds": 12975.300000000001
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  ],
  "group_mean_regression": {
    "slope": -1.05932448352922,
    "intercept_log10": 3.875292507988597,
    "slope_se": 0.021077223328062673,
    "r_squared": 0.9992088568994003,
    "slope_95CI_OLS_four_means": [
      -1.1500124560172478,
      -0.9686365110411921
    ],
    "extreme_predicted_trials": 1.2807707287573076,
    "extreme_observed_mean": 3.6,
    "limits": "Only four group means in regression; excluded nonlearners not reclassified; no raw-signal or actual total-time refit."
  },
  "saved_model_scores": [
    {
      "model": "ANCCR",
      "mean_squared_error": 793.6392307692308,
      "score_no_parameter_penalty": 347.18470741145615,
      "parameter_count": 5,
      "score_with_author_parameter_count": 357.18470741145615,
      "relative_score_weight": 1.0
    },
    {
      "model": "微刺激TD",
      "mean_squared_error": 5260.0,
      "score_no_parameter_penalty": 445.5300878980513,
      "parameter_count": 8,
      "score_with_author_parameter_count": 461.5300878980513,
      "relative_score_weight": 4.4113545768203795e-22
    },
    {
      "model": "间隔调整的TD",
      "mean_squared_error": 881.970048076923,
      "score_no_parameter_penalty": 352.6722210093529,
      "parameter_count": 8,
      "score_with_author_parameter_count": 368.6722210093529,
      "relative_score_weight": 0.06432822416982797
    },
    {
      "model": "SOP约束版",
      "mean_squared_error": 3810.792884615384,
      "score_no_parameter_penalty": 428.77081273873176,
      "parameter_count": 12,
      "score_with_author_parameter_count": 452.77081273873176,
      "relative_score_weight": 1.9222166210430208e-18
    },
    {
      "model": "SOP放宽约束",
      "mean_squared_error": 1316.3204807692307,
      "score_no_parameter_penalty": 373.4949716502111,
      "parameter_count": 12,
      "score_with_author_parameter_count": 397.4949716502111,
      "relative_score_weight": 1.9355246730426824e-06
    }
  ],
  "chosen_update": {
    "tau_seconds": 3600.0,
    "threshold": 0.8,
    "results": [
      {
        "interval_seconds": 60.0,
        "time_gain": 0.016528546178382512,
        "threshold": 0.8,
        "time_gain_trials": 97,
        "time_gain_elapsed_seconds": 5820.0,
        "fixed_gain": 0.02,
        "fixed_gain_trials": 80,
        "fixed_gain_elapsed_seconds": 4800.0
      },
      {
        "interval_seconds": 600.0,
        "time_gain": 0.15351827510938593,
        "threshold": 0.8,
        "time_gain_trials": 10,
        "time_gain_elapsed_seconds": 6000.0,
        "fixed_gain": 0.02,
        "fixed_gain_trials": 80,
        "fixed_gain_elapsed_seconds": 48000.0
      },
      {
        "interval_seconds": 3600.0,
        "time_gain": 0.6321205588285577,
        "threshold": 0.8,
        "time_gain_trials": 2,
        "time_gain_elapsed_seconds": 7200.0,
        "fixed_gain": 0.02,
        "fixed_gain_trials": 80,
        "fixed_gain_elapsed_seconds": 288000.0
      }
    ],
    "limits": "chosen error-update equation; not a full ANCCR/TD model or neural fit; no updates without events"
  },
  "milk_predictions": {
    "nominal_interval_predictions": {
      "204.25": 26.796697360421565,
      "604.25": 8.493400570881695
    },
    "note": "Main Methods interchanges general and identity-specific labels; 204.25s corresponds to more frequent all-reward events, 604.25s to sucrose-specific events. Main-text predicted 26.8/8.5 values agree with this mapping."
  },
  "chosen_poisson_background": {
    "values": [
      {
        "mean_interval_seconds": 60.0,
        "window_seconds": 1.25,
        "event_probability": 0.020617818668759835,
        "surprisal_nats": 3.881599593149226
      },
      {
        "mean_interval_seconds": 600.0,
        "window_seconds": 1.25,
        "event_probability": 0.002081164700700749,
        "surprisal_nats": 6.174827589723702
      }
    ],
    "surprisal_ratio": 1.5907945787664128,
    "limits": "not the experimental reward schedule, only a check of the rarity intuition"
  },
  "limits": [
    "Derived acquisition data and saved simulations, not original NWB signals or newly executed author parameter sweep.",
    "No causal intervention on brain computation is reproduced.",
    "Regular-interval deterministic illustration does not prove biological equivalence, latent learning or long-term retention.",
    "Saved SOP no-penalty score373.495 belongs to unconstrained output; constrained output428.771 is kept separately."
  ]
}