{"id":"W4396573437","doi":"10.5220/0012524000003690","title":"Generalizing Conditional Naive Bayes Model","year":2024,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Naive Bayes classifier; Computer science; Bayesian programming; Bayes' theorem; Artificial intelligence; Bayes factor; Machine learning; Bayesian probability; Support vector machine","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":[0.01142331,0.001197543,0.002256045,0.003276296,0.00130052,0.003292665,0.00416478,0.002613861,0.008442852],"category_scores_gemma":[0.05336647,0.001499419,0.002319341,0.003521039,0.002186769,0.0064504,0.002034088,0.004523828,0.001477322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002428704,"about_ca_system_score_gemma":0.003139072,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01671914,"about_ca_topic_score_gemma":0.01499181,"domain_scores_codex":[0.9920082,0.004595182,0.000352301,0.001328986,0.001433371,0.0002818991],"domain_scores_gemma":[0.9713957,0.02398,0.000789384,0.001936718,0.001658738,0.0002394701],"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":[0.0001195618,0.0001025997,0.001702443,0.0002389035,0.0002839228,0.0001890091,0.0003323054,0.1246191,0.0002961105,0.7801523,0.009180713,0.08278312],"study_design_scores_gemma":[0.00002121989,0.000007703783,0.0002125174,0.00003296345,0.00005558485,0.00008228356,0.00001503898,0.3170986,0.0001125962,0.6797714,0.002572005,0.00001804955],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00379491,0.0006807784,0.9901052,0.001001145,0.00009978753,0.00005681077,0.0003293581,0.0003094393,0.003622614],"genre_scores_gemma":[0.3541624,0.003028011,0.6238858,0.00176443,0.0009814622,0.0006282095,0.002197975,0.0003282394,0.01302353],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01671914,"threshold_uncertainty_score":0.06041294,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03554128171047743,"score_gpt":0.2828713277915287,"score_spread":0.2473300460810513,"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."}}