{"id":"W2016895228","doi":"10.1007/bf02595715","title":"On the probability of a model","year":2002,"lang":"en","type":"article","venue":"Test","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of the Fraser Valley; Simon Fraser University","funders":"","keywords":"Mathematics; Bayesian information criterion; Akaike information criterion; Prior probability; Applied mathematics; Statistics; Geometric distribution; Statistic; Truncation (statistics); Bayesian linear regression; Bayesian probability; Bayesian inference; Probability distribution","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":[0.06192035,0.002287953,0.006322723,0.007531025,0.002440108,0.006785319,0.007487576,0.008177686,0.01127291],"category_scores_gemma":[0.3021474,0.001782336,0.003727942,0.005203302,0.02398926,0.01382317,0.006826221,0.01173876,0.00098874],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003383474,"about_ca_system_score_gemma":0.003686595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003368928,"about_ca_topic_score_gemma":0.001370872,"domain_scores_codex":[0.9484006,0.03883288,0.00141099,0.005363125,0.004940238,0.001052292],"domain_scores_gemma":[0.446552,0.5302233,0.006673761,0.01174264,0.003071676,0.001736714],"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":[0.0002163587,0.00005459662,0.002371555,0.0002882141,0.0003019876,0.0002687891,0.0002530481,0.02857723,0.000206683,0.9442643,0.001840834,0.02135632],"study_design_scores_gemma":[0.00007405772,0.00005171798,0.0003942669,0.0001032931,0.00007216287,0.0001745184,0.00004395384,0.0952564,0.0001889783,0.9026704,0.0009385609,0.00003162129],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01310265,0.001066804,0.9793476,0.003364211,0.0001734071,0.00008030725,0.000244271,0.0001878554,0.002432879],"genre_scores_gemma":[0.6011278,0.003858111,0.3810213,0.00278556,0.002719799,0.001607955,0.001245053,0.0003131369,0.005321284],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.06192035,"threshold_uncertainty_score":0.32747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2339862140115551,"score_gpt":0.371325601320931,"score_spread":0.1373393873093759,"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."}}