{
  "seed": 20260924,
  "text_encoder": "google-bert/bert-base-uncased",
  "training_configuration": {
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    "imputer_epochs": 8,
    "batch_size": 64,
    "early_stopping_patience": 3,
    "device": "cuda",
    "device_name": "NVIDIA GeForce RTX 5070 Ti",
    "optimizer": "AdamW",
    "student_learning_rate": 0.0003,
    "student_weight_decay": 0.001,
    "imputer_learning_rate": 0.0003,
    "imputer_weight_decay": 0.0001,
    "early_stopping_metric": "mean untempered selection_nll over fixed group-disjoint internal training scenarios",
    "inner_selection_scenarios": [
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      "0.3/single",
      "0.3/sync",
      "0.5/async"
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    "inner_selection_source_video_groups": 76
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  "training_input": "E题数据/附件2-数据集特征文件/aligned_50.pkl",
  "training_sha256": "66e867aa74bc70a844e806e5571e371c9abb4a35f9e2887ce9b4d97ff2cb8fcd",
  "official_group_overlap": {
    "train_valid": 0,
    "train_test": 0,
    "valid_test": 0
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  "official_splits": {
    "train": {
      "n": 3395,
      "source_video_groups": 1528
    },
    "valid": {
      "n": 728,
      "source_video_groups": 239
    },
    "test": {
      "n": 727,
      "source_video_groups": 381
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  "internal_train_holdouts": {
    "fit": {
      "n": 3030,
      "video_groups": 1375
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    "reliability_selection": {
      "n": 190,
      "video_groups": 76
    },
    "temperature_calibration": {
      "n": 175,
      "video_groups": 77
    },
    "all_group_disjoint": true
  },
  "feature_standardization": "fit-only observed rows, per-dimension; fixed for valid/test/attachment3",
  "missing_mask": "row-level all-zero convention; q*=1 only where currently visible, J_Q=0; hidden metadata is zeroed",
  "observation_quality": {
    "quality_score_fields_present": false,
    "quality_available_flag_present": false,
    "fallback": "q*=1 and J_Q=0 for visible rows; R_eff=R",
    "quality_noise_mapping_ablation": "not identifiable on aligned_50 because no row quality score varies"
  },
  "imputer": {
    "type": "structured linear Gaussian shared-private state space",
    "state_dims": {
      "shared": 8,
      "private_each": 4
    },
    "posterior": "block-tridiagonal equivalent Kalman information filter + RTS smoother",
    "sampling": "joint latent trajectories and missing emissions; observed features copied exactly",
    "fit_objective": "train-only observed Gaussian marginal likelihood including log determinants",
    "epochs": 8,
    "frozen_before_teacher_student": true
  },
  "architecture": {
    "projection": 32,
    "bigru_hidden_each_direction": 16,
    "cross_source_layers": 1,
    "cross_time_read": true,
    "rank": 4,
    "reliability_gru": "directional hidden decay; reset applied before candidate map; update gate multiplied by rho",
    "final_gate": "rho times bounded content score plus positive null prior",
    "output": "neutral point mass plus sign-specific Beta magnitudes; K-path probabilities mixed before decoding"
  },
  "reliability_hyperparameters": {
    "selected_per_model_on": "group-disjoint internal training reliability-validation slice",
    "candidate_values": [
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        0.0,
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      [
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        0.1,
        0.0,
        0.0
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      [
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        0.05,
        0.05
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      [
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        0.05
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    "validation_scenarios": [
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      "0.3/single",
      "0.3/sync",
      "0.5/async"
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    "selected_by_model": {
      "teacher": [
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        0.05,
        0.05
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      "C1": [
        0.5,
        0.05,
        0.05,
        0.05
      ],
      "C2": [
        0.5,
        0.05,
        0.05,
        0.05
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      "C3": [
        0.3,
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        0.05,
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      "C4": [
        0.7,
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        0.05,
        0.05
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      "C5": [
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        0.05,
        0.05
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      "C6": [
        0.3,
        0.05,
        0.05,
        0.05
      ],
      "C6_no_distance": [
        0.5,
        0.0,
        0.0,
        0.0
      ],
      "C6_no_reconstruction": [
        0.3,
        0.05,
        0.05,
        0.05
      ],
      "C6_pointmask": [
        0.3,
        0.05,
        0.05,
        0.05
      ],
      "C7_distill": [
        0.3,
        0.05,
        0.05,
        0.05
      ],
      "C7_group": [
        0.3,
        0.05,
        0.05,
        0.05
      ]
    }
  },
  "group_risk_hyperparameters": {
    "selection": "lambda_group and group_temperature jointly selected with reliability hyperparameters on fixed group-disjoint internal training scenarios",
    "candidate_values": [
      [
        0.05,
        0.1
      ],
      [
        0.1,
        0.05
      ],
      [
        0.1,
        0.1
      ],
      [
        0.1,
        0.2
      ],
      [
        0.2,
        0.1
      ]
    ],
    "selected": [
      0.1,
      0.05
    ],
    "selection_split": "reliability_validation"
  },
  "loss": {
    "supervision": "negative log mixture of Beta interval masses plus scaled Huber mean term",
    "delta_u": 0.027777499999999997,
    "delta_u_source": "half the minimum positive spacing of nonzero absolute labels in fit only",
    "lambda_y": 1.0,
    "lambda_distill": 0.1,
    "lambda_reconstruction": 0.05,
    "lambda_group_default": 0.1,
    "group_temperature_default": 0.1,
    "selected_group_risk": [
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      0.05
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    "distill_temperature": 2.0,
    "distill_retention_exponent": 1.0,
    "imputer_regularization": {
      "emission_l2": 0.0001,
      "transition_l2": 0.0001
    },
    "group_and_distill_separate": true
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  "calibration": {
    "method": "temperature scaling on a group-disjoint internal official-train holdout, separated from reliability selection",
    "temperature": 1.212728800581531,
    "valid_used_for_selection": true,
    "test_used_for_selection_or_calibration": false
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  "selected_model": "C5",
  "attachment3_low_information_priors": {
    "class_probability_method": "fit counts + one pseudocount per class",
    "class_probability_values": [
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      0.5008242664029015
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    "negative_beta": [
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    "positive_beta": [
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  "ablation_definitions": {
    "C1": "masked BiGRU; no posterior imputation, explicit reliability or source gate",
    "C2": "exact Gaussian posterior mean; no joint trajectory integral",
    "C3": "joint trajectory integral plus final reliability/content fusion gate",
    "C4": "C3 plus bounded cross-time source attention and null source",
    "C5": "C4 plus reliability-modulated BiGRU update",
    "C6": "C5 plus optional rank-4 CP residual",
    "C6_no_distance": "C6 with uncertainty retained but both distance/span reliability penalties fixed to zero",
    "C6_no_reconstruction": "C6 trained without the auxiliary hidden-feature reconstruction loss",
    "C6_pointmask": "C6 trained with independent point masking instead of contiguous spans",
    "C7_distill": "C6 plus entropy/retention-weighted teacher distillation only",
    "C7_group": "C6 plus smooth worst-group risk only"
  },
  "masking": {
    "rates": [
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      0.1,
      0.3,
      0.5,
      0.7
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    "patterns": [
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      "sync",
      "partial",
      "async"
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    "preserve_at_least_fraction_per_selected_modality": 0.2,
    "controlled_sweep_split": "official validation",
    "identical_masks_across_models": true,
    "scenario_count": 42,
    "scenario_seed": 20261833,
    "training_mask_rng_seed": 20261227,
    "reliability_scenario_seed": 20261830,
    "controlled_torch_sampling_seed": 20261476,
    "paired_control_bootstrap_seed": 20261477,
    "mask_audit_file": "controlled_mask_audit.csv",
    "additional_one_factor_controls": [
      "modality T/A/V and combinations",
      "start/middle/end",
      "one-long/multiple-short",
      "sync/partial/async"
    ],
    "semantic_position_control": "not run: aligned_50 does not provide audited semantic boundary indices; raw text is prohibited in student inputs"
  },
  "final_test_metrics": {
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    "accuracy": 0.6740027510316369,
    "macro_f1": 0.5861296508417881,
    "negative_support": 207,
    "neutral_support": 158,
    "positive_support": 362,
    "negative_recall": 0.7439613526570048,
    "middle_recall": 0.2088607594936709,
    "positive_recall": 0.8370165745856354,
    "regression_mae": 0.6979971528053284,
    "regression_rmse": 0.9674004106251411,
    "pearson": 0.6300334334373474,
    "brier": 0.44093362507172046,
    "classification_nll": 0.7613825798034668,
    "ece_15": 0.04994105640926912,
    "selection_nll": 2.868818521499634,
    "interval_90_coverage": 0.8968363136176066,
    "interval_90_mean_width": 2.4823575019836426,
    "predictive_variance_mean_uncalibrated": 0.601151168346405,
    "within_trajectory_variance_mean": 0.601142168045044,
    "between_trajectory_variance_mean": 8.998179509944748e-06,
    "predictive_mean_mean_calibrated": 0.12094182521104813,
    "predictive_variance_mean_calibrated": 0.6566913723945618,
    "selected_model": "C5",
    "temperature": 1.212728800581531
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  "attachment3_cases": 30,
  "attachment3_labeled_metrics": null,
  "completed_utc": "2026-09-24T20:01:49Z",
  "attachment3_prediction_file": "attachment3_predictions.csv",
  "attachment3_audit_file": "attachment3_audit.csv",
  "quality_flags": {
    "text": "unavailable; q*=1 fallback for visible rows, unknown flag retained",
    "audio": "unavailable; q*=1 fallback for visible rows, unknown flag retained",
    "vision": "unavailable; q*=1 fallback for visible rows, unknown flag retained"
  },
  "neutral_output": "exact zero when neutral is the predicted class; no near-zero threshold",
  "diagnostic_figures": [
    "q2_diagnostics.png",
    "q2_gate_positions.png"
  ]
}