{"id":"W1492722106","doi":"10.1002/9780470050118.ecse038","title":"Bayesian Belief Networks","year":2009,"lang":"en","type":"other","venue":"Wiley Encyclopedia of Computer Science and Engineering","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Bayesian network; Computer science; Artificial intelligence; Conditional independence; Joint probability distribution; Inference; Machine learning; Graphical model; Bayesian inference; Bayesian probability; Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004275845,0.0003562428,0.000425843,0.0005965909,0.00007452354,0.0001889261,0.001600748,0.0001982701,0.00001042261],"category_scores_gemma":[0.00002261576,0.0003446091,0.00005765264,0.0009326783,0.0001663591,0.0003706552,0.0004222583,0.0002911809,0.000006218516],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002982953,"about_ca_system_score_gemma":0.0001939141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003604727,"about_ca_topic_score_gemma":0.000003078391,"domain_scores_codex":[0.9978169,0.00001339431,0.0003193838,0.0007228152,0.0005752827,0.0005522079],"domain_scores_gemma":[0.9987188,0.00003740579,0.000153525,0.0007183212,0.0001011326,0.0002708023],"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":[0.000001456435,0.0000669857,0.00004790572,0.0001529885,0.00003357083,0.00003332346,0.0003723748,0.02785773,0.00005683084,0.02057962,0.1023508,0.8484464],"study_design_scores_gemma":[0.000105975,0.00009592374,0.0001478869,0.0005697359,0.000008433056,0.00002114646,7.290978e-7,0.9245906,0.00001289677,0.0002290234,0.07377893,0.0004387075],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00001214556,0.001884388,0.9379797,0.00007692545,0.001044728,0.000124177,0.000001616527,0.0004235528,0.05845275],"genre_scores_gemma":[0.02065698,0.01251663,0.9480374,0.000675414,0.002436243,0.00002521536,0.000007494903,0.0003199662,0.01532463],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8967329,"threshold_uncertainty_score":0.9999006,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005280966177656442,"score_gpt":0.1980711779339991,"score_spread":0.1927902117563427,"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."}}