{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000188603,0.0003160186,0.0003139784,0.00009128114,0.00007868736,0.0002057262,0.001217193,0.0004059483,0.0003399283],"category_scores_gemma":[0.00000465819,0.0002800485,0.0001415692,0.00002700865,0.00004539268,0.00008458513,0.000289599,0.000448079,0.0006070802],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002618704,"about_ca_system_score_gemma":0.00006291379,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007332634,"about_ca_topic_score_gemma":0.000008102515,"domain_scores_codex":[0.9985873,0.0000131706,0.0002788139,0.000582618,0.0002487166,0.0002893737],"domain_scores_gemma":[0.9985636,0.00005582253,0.0001174877,0.001009171,0.00008342643,0.0001704437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[4.33988e-7,0.000001544295,3.448384e-7,0.000004281581,0.00001114798,0.00000651813,0.000007068955,0.0003497281,2.843737e-7,0.8901167,0.01216534,0.09733663],"study_design_scores_gemma":[0.00005520226,0.00004416372,8.249566e-7,0.00007547753,0.000008946422,0.00001507392,1.435224e-7,0.5911759,0.000002707297,0.2064211,0.2017895,0.0004109624],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[1.175744e-8,0.0001153996,0.5134566,0.0002078422,0.0002634042,0.00003840423,3.322337e-7,0.000233403,0.4856846],"genre_scores_gemma":[0.008855559,0.0001021177,0.03675807,0.001827529,0.0004147919,0.000003660822,0.000007075696,0.00003717534,0.951994],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.6836956,"threshold_uncertainty_score":0.9999652,"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."}}