{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001731063,0.0001032261,0.00009840175,0.00003213356,0.000109615,0.0001517557,0.0005467088,0.0000612907,0.00003713847],"category_scores_gemma":[0.000004925509,0.00008892528,0.00004794566,0.0002905154,0.00002860631,0.0002189439,0.00009199117,0.0001036699,0.00006775287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001777572,"about_ca_system_score_gemma":0.00004480257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007883097,"about_ca_topic_score_gemma":0.00005436039,"domain_scores_codex":[0.9990135,0.0000332662,0.000164072,0.0002917687,0.0001583062,0.0003391076],"domain_scores_gemma":[0.9994225,0.0000405782,0.00003449336,0.0003893717,0.00003734283,0.00007574625],"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":[0.000001869058,0.00001541574,0.0002345947,0.000001478175,0.000002517764,0.000006312613,0.000009571264,0.001291305,0.00008216108,0.9418941,0.04510074,0.01135998],"study_design_scores_gemma":[0.0001255582,0.00006472957,0.0007064939,0.000009692753,0.000002645784,0.00001595836,0.00000380522,0.4669055,0.0001728173,0.5240644,0.007692541,0.0002358988],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0007449416,0.00005480046,0.91173,0.001255373,0.0002644721,0.00003633227,1.548822e-7,0.000348046,0.08556587],"genre_scores_gemma":[0.7590464,0.000002804165,0.2377508,0.0005227974,0.0002244725,0.000004314246,9.234668e-7,0.000005309609,0.002442158],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7583015,"threshold_uncertainty_score":0.3626268,"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."}}