{"id":"W1976019979","doi":"10.1145/1143844.1143957","title":"Full Bayesian network classifiers","year":2006,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":84,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of New Brunswick","funders":"","keywords":"Bayesian network; Conditional independence; Machine learning; Artificial intelligence; Computer science; Independence (probability theory); Decision tree; Context (archaeology); Variable-order Bayesian network; Tree (set theory); Tree structure; Bayesian probability; Bayesian inference; Mathematics; Algorithm; Statistics","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":[0.004738658,0.001590003,0.002276555,0.003084544,0.001037738,0.002442138,0.003395728,0.002609091,0.008980844],"category_scores_gemma":[0.01972595,0.0008286085,0.001538602,0.002630524,0.000827988,0.006013215,0.001876225,0.002657674,0.004079476],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00159607,"about_ca_system_score_gemma":0.002183174,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004615838,"about_ca_topic_score_gemma":0.005716224,"domain_scores_codex":[0.9962649,0.001337924,0.0002307682,0.000809087,0.001119394,0.0002380239],"domain_scores_gemma":[0.9925869,0.004282427,0.0005214309,0.000921684,0.001499877,0.0001876771],"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":[0.0002822287,0.0001741162,0.002782671,0.0003729987,0.0002525923,0.0001582498,0.0001217986,0.2174303,0.001820575,0.113952,0.0280026,0.6346499],"study_design_scores_gemma":[0.00002562423,0.00002884627,0.0003894253,0.0000640837,0.0000558948,0.0000966425,0.00001927214,0.842391,0.0009471255,0.149212,0.00674476,0.00002536031],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003355966,0.0006517329,0.9905061,0.0003632605,0.00006896379,0.00009704172,0.0007796462,0.000662358,0.003514969],"genre_scores_gemma":[0.2315458,0.001755229,0.7515048,0.0007231466,0.0004493964,0.0007286227,0.004541876,0.0002612893,0.008489866],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008980844,"threshold_uncertainty_score":0.0300439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01323429846828936,"score_gpt":0.2192843564249808,"score_spread":0.2060500579566914,"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."}}