{"id":"W4232698207","doi":"10.1007/978-1-4939-7131-2_100053","title":"Bayesian Networks","year":2018,"lang":"en","type":"book-chapter","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Bayesian network; Computer science; Bayesian probability; Artificial intelligence","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":[0.000969056,0.001201824,0.0007246044,0.001537958,0.0006320839,0.002919799,0.001182379,0.00141699,0.04777803],"category_scores_gemma":[0.004957661,0.0006605686,0.0005127853,0.001748747,0.00123644,0.003406392,0.001252257,0.00224741,0.01967441],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001567441,"about_ca_system_score_gemma":0.00123551,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002466589,"about_ca_topic_score_gemma":0.00282971,"domain_scores_codex":[0.99918,0.0002431018,0.00002801338,0.0001680625,0.0003485379,0.00003234594],"domain_scores_gemma":[0.9990723,0.0005303561,0.00003622819,0.0001459167,0.0001775961,0.00003759871],"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":[0.000008355047,0.0000198114,0.00007563421,0.0001463973,0.00001817816,0.00003252658,0.0001008574,0.006837024,0.0002197462,0.7430897,0.0856069,0.1638448],"study_design_scores_gemma":[0.000002807583,0.000003614998,0.00007000833,0.0001079792,0.000008957239,0.00005961395,0.00002148099,0.007985542,0.0001911872,0.6772221,0.3143164,0.00001030163],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000950744,0.01555899,0.5001658,0.004676766,0.001388705,0.0000781374,0.0009147123,0.0009396272,0.4753264],"genre_scores_gemma":[0.07387617,0.04433072,0.226507,0.002151789,0.00264271,0.0004475015,0.003120511,0.001114335,0.6458094],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04777803,"threshold_uncertainty_score":0.1598335,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02460188651429624,"score_gpt":0.2332284790118334,"score_spread":0.2086265924975372,"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."}}