{"id":"W2124084080","doi":"10.1109/cdc.1991.261768","title":"Model selection, stochastic complexity and badness amplification","year":2002,"lang":"en","type":"article","venue":"","topic":"Fault Detection and Control Systems","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Autoregressive model; Selection (genetic algorithm); Computer science; Model selection; Autoregressive–moving-average model; Type (biology); Artificial intelligence; Stochastic modelling; Stochastic process; Machine learning; Mathematics; Econometrics; Statistics; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006272149,0.001192073,0.001359615,0.001564422,0.0007695015,0.002464581,0.001472669,0.001396271,0.002566983],"category_scores_gemma":[0.03135987,0.0006970546,0.001248697,0.001288689,0.002877634,0.002706722,0.003334062,0.002274552,0.0003737641],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001419873,"about_ca_system_score_gemma":0.001039436,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001597202,"about_ca_topic_score_gemma":0.001768827,"domain_scores_codex":[0.9953551,0.002267312,0.0002031923,0.0005306522,0.001334052,0.0003097334],"domain_scores_gemma":[0.9659132,0.02548684,0.002595721,0.003510193,0.001915696,0.0005782595],"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":[0.0001546743,0.00008427895,0.004197701,0.0000965677,0.000194342,0.000244665,0.0001628832,0.7757526,0.00255411,0.1496441,0.002374465,0.06453954],"study_design_scores_gemma":[0.0000106673,0.00005049753,0.0004757162,0.000008057851,0.00002521314,0.00005168696,0.00000784827,0.9450176,0.001087348,0.05270083,0.0005449608,0.00001969669],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01991221,0.0002365172,0.9767873,0.0004859824,0.00005275706,0.00003457089,0.00003578867,0.0003382139,0.002116747],"genre_scores_gemma":[0.8463629,0.0003738826,0.1463978,0.0004280366,0.0002790067,0.0001475922,0.000183474,0.0002286012,0.005598693],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006272149,"threshold_uncertainty_score":0.0331707,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04269977987572386,"score_gpt":0.2204910433150831,"score_spread":0.1777912634393592,"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."}}