{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002577511,0.0001133365,0.0002605602,0.0001381577,0.0001394443,0.00003386187,0.00009360945,0.00006362478,0.0001306161],"category_scores_gemma":[0.002061227,0.0001056611,0.00005661251,0.00007449246,0.00005946211,0.0001057313,0.000003305769,0.0001519353,0.000001207861],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000167705,"about_ca_system_score_gemma":0.0002226348,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006844049,"about_ca_topic_score_gemma":0.001138648,"domain_scores_codex":[0.9990231,0.00005057938,0.0004178656,0.0001023171,0.0001315064,0.0002745768],"domain_scores_gemma":[0.9981706,0.0004933964,0.0002308423,0.00007388479,0.0005807478,0.0004505668],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006504067,0.00004042425,0.00003141447,0.0001084401,0.00007741254,0.00004555754,0.00116404,0.006247852,0.0002647239,0.8662619,0.09926849,0.02642469],"study_design_scores_gemma":[0.0003851987,0.0001938259,0.000008304866,0.00002420195,0.0000638065,0.00003943338,0.00002241424,0.4407155,0.0000430145,0.5568689,0.001557826,0.00007761861],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00101059,0.0001050099,0.9968584,0.0001118639,0.0002075097,0.0001706117,0.00128511,0.000006594653,0.0002443241],"genre_scores_gemma":[0.03871281,0.00002922427,0.9602567,0.0001268014,0.0001435276,0.000008390334,0.000004276787,0.00002838613,0.0006898972],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4344677,"threshold_uncertainty_score":0.4308733,"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."}}