{"id":"W2073300377","doi":"10.2307/3315866","title":"A generalized predictive criterion for model selection","year":2002,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Advanced Statistical Methods and Models","field":"Mathematics","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generalization; Class (philosophy); Logarithm; Mathematics; Model selection; Applied mathematics; Parametric statistics; Selection (genetic algorithm); Function (biology); Parametric model; Mathematical optimization; Computer science; Statistics; Artificial intelligence; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0125948,0.001112867,0.001712508,0.003149271,0.0007435204,0.002072657,0.00232877,0.001651903,0.003718966],"category_scores_gemma":[0.03439092,0.0004683395,0.0008437748,0.002441487,0.002457412,0.002251155,0.002789753,0.001934118,0.0004386147],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00217351,"about_ca_system_score_gemma":0.001835685,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002793287,"about_ca_topic_score_gemma":0.001846871,"domain_scores_codex":[0.9941049,0.003753235,0.0001707634,0.0005478613,0.001230743,0.0001924953],"domain_scores_gemma":[0.9805859,0.01446025,0.0009811344,0.001240449,0.002355548,0.0003767739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0001151258,0.00005065064,0.002253657,0.0002169458,0.0001967234,0.0002223853,0.0001458791,0.5683726,0.0007822269,0.3622069,0.004049941,0.061387],"study_design_scores_gemma":[0.00001344121,0.00003892584,0.0002975137,0.00003549511,0.00001316214,0.000039652,0.0000125359,0.884807,0.0002015276,0.1135705,0.0009569547,0.00001335606],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01508518,0.0004912785,0.9812014,0.0004624804,0.00003998775,0.0000471347,0.0001279652,0.0001931281,0.002351401],"genre_scores_gemma":[0.7627432,0.0007684185,0.2278591,0.00065,0.0004239499,0.000447821,0.001366872,0.0002917542,0.00544902],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0125948,"threshold_uncertainty_score":0.06660849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1568012139824258,"score_gpt":0.3778077836328896,"score_spread":0.2210065696504638,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}