{"id":"W2727216584","doi":"","title":"Feature Relevance in Bayesian Network Classifiers and Application to Image Event Recognition.","year":2017,"lang":"en","type":"article","venue":"The Florida AI Research Society","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec","funders":"","keywords":"Computer science; Relevance (law); Artificial intelligence; Feature (linguistics); Pattern recognition (psychology); Bayesian network; Event (particle physics); Bayesian probability; Feature extraction; Machine learning","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":[0.005267327,0.0006280614,0.001322857,0.001956993,0.0007951322,0.001861524,0.001672611,0.002290855,0.002570282],"category_scores_gemma":[0.04486056,0.0006567414,0.0007385802,0.002064776,0.001195318,0.002988122,0.001294371,0.002558962,0.0007332912],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358208,"about_ca_system_score_gemma":0.001302789,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009030063,"about_ca_topic_score_gemma":0.008974939,"domain_scores_codex":[0.9979863,0.001063309,0.0001153183,0.0003669249,0.0003833632,0.00008483444],"domain_scores_gemma":[0.9850947,0.01276464,0.0005366597,0.0004761664,0.0009677207,0.0001600498],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0004137887,0.0002393316,0.00423267,0.0004018703,0.0001693731,0.0002485273,0.0002955522,0.353374,0.003118864,0.0976797,0.01138931,0.5284371],"study_design_scores_gemma":[0.00001915809,0.00002629657,0.0008922087,0.00003025358,0.00003854766,0.00006581166,0.00002347635,0.909202,0.0009891262,0.08711126,0.001584798,0.00001704535],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01239608,0.00286422,0.9807931,0.001008624,0.0001154797,0.00008379467,0.0001410078,0.0004147328,0.002182953],"genre_scores_gemma":[0.6007828,0.003102627,0.3895164,0.0003852612,0.000750703,0.0002741984,0.0005461528,0.0001677069,0.004474181],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.009030063,"threshold_uncertainty_score":0.02785659,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05166454561908704,"score_gpt":0.3677323953062363,"score_spread":0.3160678496871493,"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."}}