{"id":"W4243414747","doi":"10.1007/978-1-4614-6170-8_100979","title":"Bayesian Networks","year":2014,"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; Bayesian probability; Computer science; 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":[0.0009119296,0.001160196,0.0007211483,0.001526745,0.0006191098,0.002689914,0.001157486,0.00134592,0.04387156],"category_scores_gemma":[0.0043819,0.0006492986,0.0004776118,0.00171658,0.001235287,0.003271637,0.001209125,0.002117054,0.01659955],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001530129,"about_ca_system_score_gemma":0.001186846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002686245,"about_ca_topic_score_gemma":0.003240527,"domain_scores_codex":[0.9992043,0.0002430889,0.0000277762,0.0001577581,0.0003356566,0.00003144582],"domain_scores_gemma":[0.9991806,0.0004689679,0.00003245451,0.0001271281,0.0001589985,0.00003186794],"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":[0.000007387356,0.00001834877,0.00007372587,0.0001286765,0.00001724963,0.00003323488,0.00009918979,0.007219326,0.0002126558,0.7463244,0.07511996,0.1707458],"study_design_scores_gemma":[0.00000267225,0.000003483643,0.00006952001,0.0001033633,0.000008630498,0.00006509497,0.00002281127,0.009035732,0.000203609,0.6954203,0.2950541,0.00001066281],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0008902727,0.01370395,0.5213898,0.003826345,0.001044489,0.00007267956,0.0007519582,0.0007972107,0.4575233],"genre_scores_gemma":[0.07290661,0.04161977,0.2474161,0.001932737,0.00213364,0.0004350354,0.002606305,0.0009714523,0.6299784],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04387156,"threshold_uncertainty_score":0.1467649,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01921335926113184,"score_gpt":0.2198963412893753,"score_spread":0.2006829820282435,"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."}}