{"id":"W4413306953","doi":"10.1002/cjs.70015","title":"How to measure statistical evidence and its strength: Bayes factors or relative belief ratios?","year":2025,"lang":"en","type":"article","venue":"Canadian Journal of Statistics","topic":"Statistical Methods and Bayesian Inference","field":"Mathematics","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Measure (data warehouse); Bayes' theorem; Statistics; Bayes factor; Mathematics; Econometrics; Computer science; Bayesian probability; Data mining","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1493797,0.002692009,0.006385486,0.01845299,0.002240281,0.01662707,0.006969239,0.008918875,0.005630866],"category_scores_gemma":[0.5392921,0.002108946,0.003668791,0.01065625,0.027927,0.03462614,0.008321605,0.01404594,0.00162753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003997875,"about_ca_system_score_gemma":0.002648782,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002144418,"about_ca_topic_score_gemma":0.001069593,"domain_scores_codex":[0.8442515,0.1084996,0.01204727,0.01054325,0.02325788,0.001400496],"domain_scores_gemma":[0.4129301,0.5083942,0.02828576,0.02642119,0.0210025,0.002966116],"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":[0.0001738235,0.00004873818,0.002598314,0.001196902,0.0006594596,0.00009730049,0.0007120479,0.00466184,0.0004349865,0.9085178,0.0051443,0.07575449],"study_design_scores_gemma":[0.00002817429,0.00003877206,0.0005208678,0.0005918845,0.0001069064,0.000168744,0.0001505785,0.006791907,0.0003404529,0.9867143,0.004470956,0.00007642127],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.008925694,0.02599422,0.9220733,0.0269807,0.001851386,0.0002575853,0.0005059968,0.0003317503,0.01307944],"genre_scores_gemma":[0.4528803,0.009953042,0.5191193,0.008274325,0.006032519,0.001048919,0.00024981,0.0003731717,0.00206862],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1493797,"threshold_uncertainty_score":0.7900047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1147513078013784,"score_gpt":0.3571375936181413,"score_spread":0.2423862858167629,"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."}}