{"id":"W2744687314","doi":"10.1002/cjs.11325","title":"Bayes factor biases for non‐nested models and corrections","year":2017,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayes factor; Bayes' theorem; Bayesian probability; Mathematics; Humanities; Statistics; Philosophy","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"about_ca":true,"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":[0.0530053,0.001111992,0.001679062,0.002300027,0.001425216,0.002751551,0.003448987,0.00243936,0.009988614],"category_scores_gemma":[0.4611277,0.0008477228,0.001547899,0.00131147,0.004581511,0.004732228,0.00306644,0.005370941,0.001098704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003297292,"about_ca_system_score_gemma":0.002762977,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008475573,"about_ca_topic_score_gemma":0.007031174,"domain_scores_codex":[0.9628474,0.0242917,0.001603157,0.004297534,0.005991674,0.0009686426],"domain_scores_gemma":[0.600412,0.3517238,0.01250736,0.02389922,0.01002121,0.001436574],"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":[0.0003092377,0.000125122,0.01012422,0.0004550208,0.0003605777,0.0009276906,0.001333993,0.08191875,0.001360213,0.7673573,0.01028341,0.1254445],"study_design_scores_gemma":[0.00006062555,0.00005687682,0.001600608,0.000288133,0.0000864275,0.0003628352,0.0001159144,0.2269033,0.001682011,0.7629515,0.00580417,0.00008768996],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02837101,0.001248431,0.9595106,0.001980239,0.0005315442,0.0001242396,0.0001488885,0.001041608,0.00704348],"genre_scores_gemma":[0.6605501,0.0006889703,0.3318613,0.001528043,0.0004875958,0.0003334967,0.0001605312,0.0006538152,0.003736078],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0530053,"threshold_uncertainty_score":0.2803221,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1979826975087588,"score_gpt":0.3885215929929745,"score_spread":0.1905388954842157,"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."}}