{"id":"W1569368807","doi":"10.1086/341841","title":"Model Selection, Simplicity, and Scientific Inference","year":2002,"lang":"en","type":"article","venue":"Philosophy of Science","topic":"Complex Systems and Time Series Analysis","field":"Economics, Econometrics and Finance","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Akaike information criterion; Simplicity; Inverse-square law; Inference; Statistical inference; Statistic; Ideal (ethics); Computer science; Selection (genetic algorithm); Argument (complex analysis); Causal inference; Scientific theory; Statistical theory; Econometrics; Mathematics; Epistemology; Artificial intelligence; Machine learning; Statistics; Gravitation","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.03854364,0.001096499,0.00266662,0.003252545,0.001571842,0.004362154,0.001964136,0.002549769,0.003270916],"category_scores_gemma":[0.1315397,0.0007475067,0.001444894,0.002333602,0.007129839,0.005447932,0.003732394,0.003576773,0.0007994412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002106596,"about_ca_system_score_gemma":0.002824968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003378571,"about_ca_topic_score_gemma":0.003061716,"domain_scores_codex":[0.9698728,0.0224208,0.001021562,0.002064444,0.004090638,0.0005297004],"domain_scores_gemma":[0.9150873,0.06984621,0.00401542,0.006722483,0.003425424,0.0009031813],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007360515,0.00003632533,0.004179845,0.0004489502,0.0005067106,0.000288499,0.0003792491,0.05277082,0.0002694468,0.882942,0.005894492,0.05221004],"study_design_scores_gemma":[0.00002424166,0.00002458957,0.0006281687,0.00008438213,0.00003133441,0.00008247091,0.00004394297,0.03686911,0.00008798285,0.9578772,0.004225973,0.00002064262],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01711271,0.007986421,0.9378983,0.01947446,0.0005987905,0.0001449813,0.0003176965,0.0003145977,0.01615217],"genre_scores_gemma":[0.7131198,0.008030765,0.2659489,0.003981029,0.00202339,0.0005138253,0.0004427639,0.0002329116,0.005706541],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9614564,"threshold_uncertainty_score":0.2038407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1001901924433626,"score_gpt":0.2413123164507214,"score_spread":0.1411221240073588,"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."}}