{"id":"W7036217496","doi":"","title":"Bayesian Model Selection for Discrete Graphical Models","year":2023,"lang":"en","type":"other","venue":"York University Digital Library (York University)","topic":"Scientific Research and Technology","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University","keywords":"Graphical model; Bayes factor; Model selection; Conditional independence; Dirichlet distribution; Prior probability; Posterior probability; Bayes' theorem; Contingency table; Multinomial distribution","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"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":[0.01353029,0.00174316,0.002787495,0.003502746,0.001312716,0.00284064,0.003461344,0.002381384,0.005634792],"category_scores_gemma":[0.05295813,0.001788041,0.002720798,0.002593488,0.002564946,0.003059818,0.003155378,0.004070831,0.001152017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003359122,"about_ca_system_score_gemma":0.002715481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008478995,"about_ca_topic_score_gemma":0.008938255,"domain_scores_codex":[0.9894797,0.007395852,0.0002781731,0.001199932,0.001300568,0.0003458377],"domain_scores_gemma":[0.9549691,0.04032377,0.001333948,0.001294691,0.00159759,0.0004809156],"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":[0.00008698249,0.00005216031,0.001287969,0.0001825045,0.0001939588,0.0001638714,0.0001507487,0.7448798,0.0004297042,0.2110171,0.002611453,0.03894378],"study_design_scores_gemma":[0.00002145492,0.00001084013,0.0001022321,0.00002120842,0.00001296844,0.00001867452,0.00001028536,0.8949712,0.0000836649,0.1040887,0.0006484193,0.00001033295],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.003670098,0.0002605602,0.9943915,0.0003112908,0.00002390183,0.00006431414,0.0001350244,0.0002016497,0.0009416854],"genre_scores_gemma":[0.2654464,0.001423312,0.7234377,0.0005612555,0.0002773413,0.001457789,0.002061247,0.000422256,0.004912641],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01353029,"threshold_uncertainty_score":0.07155585,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815643423579291,"score_gpt":0.1892684056424449,"score_spread":0.171111971406652,"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."}}