{"id":"W1514470448","doi":"10.7939/r3610vr65","title":"Discriminative Model Selection for Belief Net Structures","year":2004,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Discriminative model; Artificial intelligence; Computer science; Model selection; Machine learning; Bayesian information criterion; Likelihood function; Selection (genetic algorithm); Graphical model; Pattern recognition (psychology); Estimation theory; Algorithm","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":[0.01031374,0.002183893,0.001803021,0.002926486,0.001124585,0.002035717,0.002493901,0.002078425,0.003555128],"category_scores_gemma":[0.0327185,0.001209719,0.001466022,0.001368936,0.001483372,0.003511718,0.002466596,0.004318578,0.001195865],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003021043,"about_ca_system_score_gemma":0.001950073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006672476,"about_ca_topic_score_gemma":0.0112922,"domain_scores_codex":[0.9944771,0.003737059,0.0001578643,0.0007054827,0.0007010882,0.0002214244],"domain_scores_gemma":[0.9801431,0.01628256,0.0007861569,0.001111543,0.001275384,0.0004013302],"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":[0.0003154016,0.0001977405,0.003263986,0.0001766338,0.0001395763,0.0001166651,0.000180515,0.8251474,0.001381727,0.04353241,0.004878974,0.120669],"study_design_scores_gemma":[0.0000168309,0.00002054509,0.0001049602,0.00001526416,0.000007323601,0.00001323674,0.0000108111,0.9801078,0.0002745484,0.01914584,0.0002772934,0.000005437261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02631721,0.0004376382,0.969305,0.0007354997,0.00003310479,0.0001137956,0.0002066019,0.001084575,0.00176653],"genre_scores_gemma":[0.583353,0.0003910632,0.4097348,0.000757688,0.0001099617,0.0004957204,0.001776381,0.0004691744,0.002912144],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01031374,"threshold_uncertainty_score":0.05454487,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03535879302562537,"score_gpt":0.2878144802364724,"score_spread":0.252455687210847,"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."}}