{
  "planned": 30,
  "successful": 30,
  "failed": [],
  "warnings_by_seed": [
    {
      "seed": 20261101,
      "warnings": "package 'mirt' was built under R version 4.6.1"
    }
  ],
  "comparison_sign": "Constrained minus comparator. Negative RMSE differences favor constrained; positive information differences favor constrained.",
  "design": "One fixed generating bank. Independent response samples; refit and reselect per seed. 1600 training and 800 held-out people per attempt.",
  "comparisons": {
    "item_total": {
      "target_rmse_difference": {
        "mean": 0.008505317267899997,
        "sd": 0.025841597384275633,
        "median": 0.008738963062199984,
        "min": -0.028482224261599964,
        "max": 0.07003820065669997,
        "monte_carlo_se_of_mean": 0.00471800860311142,
        "mean_95_mc_t_interval": [
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          0.01815472831482058
        ]
      },
      "overall_rmse_difference": {
        "mean": 0.07411653626239666,
        "sd": 0.0185735014477516,
        "median": 0.07290176870279999,
        "min": 0.030834780654100002,
        "max": 0.1154790062189,
        "monte_carlo_se_of_mean": 0.0033910419049294704,
        "mean_95_mc_t_interval": [
          0.06718107684072076,
          0.08105199568407255
        ]
      },
      "minimum_information_difference": {
        "mean": 2.4674288907934003,
        "sd": 0.4042361922883851,
        "median": 2.4409764204625,
        "min": 1.7896140328360004,
        "max": 3.553356459232,
        "monte_carlo_se_of_mean": 0.0738030936921148,
        "mean_95_mc_t_interval": [
          2.31648461589319,
          2.6183731656936104
        ]
      },
      "constrained_information_wins": 30,
      "constrained_target_rmse_wins": 11,
      "constrained_target_rmse_ties": 0,
      "win_fraction": 0.36666666666666664,
      "win_fraction_wilson_95_interval": [
        0.21873920806100708,
        0.5448643634520511
      ]
    },
    "content_matched": {
      "target_rmse_difference": {
        "mean": -0.0016973698875400011,
        "sd": 0.029965306464662746,
        "median": -0.0039392550030000195,
        "min": -0.0630516860111,
        "max": 0.06243576304049997,
        "monte_carlo_se_of_mean": 0.005470891431083722,
        "mean_95_mc_t_interval": [
          -0.012886599211282232,
          0.00949185943620223
        ]
      },
      "overall_rmse_difference": {
        "mean": 0.06202663335474666,
        "sd": 0.01712283939731861,
        "median": 0.06194237551125001,
        "min": 0.019487497643999985,
        "max": 0.09887253934669993,
        "monte_carlo_se_of_mean": 0.003126188462149855,
        "mean_95_mc_t_interval": [
          0.05563286004506453,
          0.06842040666442879
        ]
      },
      "minimum_information_difference": {
        "mean": 2.4002874048500336,
        "sd": 0.7081147356263253,
        "median": 2.2054523580079994,
        "min": 0.8910708550470003,
        "max": 3.548719905294,
        "monte_carlo_se_of_mean": 0.12928347133478182,
        "mean_95_mc_t_interval": [
          2.135873017038324,
          2.664701792661743
        ]
      },
      "constrained_information_wins": 30,
      "constrained_target_rmse_wins": 16,
      "constrained_target_rmse_ties": 0,
      "win_fraction": 0.5333333333333333,
      "win_fraction_wilson_95_interval": [
        0.36142299619873297,
        0.6976761109230025
      ]
    }
  },
  "form_average_target_rmse": {
    "full": {
      "mean": 0.25980968477836996,
      "sd": 0.013247081572118102,
      "median": 0.2618907512656,
      "min": 0.2304748194089,
      "max": 0.2846561521839,
      "monte_carlo_se_of_mean": 0.0024185751327200277,
      "mean_95_mc_t_interval": [
        0.2548631432252059,
        0.264756226331534
      ]
    },
    "item_total": {
      "mean": 0.4234230034760334,
      "sd": 0.022334514760340127,
      "median": 0.42665793068425,
      "min": 0.3806273012315,
      "max": 0.481619076766,
      "monte_carlo_se_of_mean": 0.0040777058483901256,
      "mean_95_mc_t_interval": [
        0.41508315860300804,
        0.43176284834905876
      ]
    },
    "content_matched": {
      "mean": 0.4336256906314732,
      "sd": 0.023101581986408642,
      "median": 0.43172703606525,
      "min": 0.3882297388477,
      "max": 0.4780624249061,
      "monte_carlo_se_of_mean": 0.004217752522670339,
      "mean_95_mc_t_interval": [
        0.42499941814892783,
        0.4422519631140186
      ]
    },
    "constrained": {
      "mean": 0.43192832074393334,
      "sd": 0.026867964557810264,
      "median": 0.4298700829435,
      "min": 0.3900450240872,
      "max": 0.4970550574568,
      "monte_carlo_se_of_mean": 0.004905396754187333,
      "mean_95_mc_t_interval": [
        0.4218956578958479,
        0.4419609835920188
      ]
    }
  },
  "limits": [
    "30 predeclared seeds; illustrative Monte Carlo study, not a precision-powered simulation.",
    "Intervals describe Monte Carlo uncertainty under this fixed-bank design, not clinical uncertainty or generalization across item banks.",
    "Failure counts include every attempt; numerical comparisons use successful attempts only.",
    "Selection and scoring rules were unchanged; no scoring-loss objective was tested."
  ]
}