{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.0001572849,0.0003116496,0.0002693222,0.00009334132,0.00009073139,0.0002213106,0.001265859,0.0004147233,0.001736781],"category_scores_gemma":[0.000003977491,0.0002751393,0.0001287332,0.00003410309,0.0000840705,0.0001589424,0.0003574151,0.0003654746,0.001351239],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003089323,"about_ca_system_score_gemma":0.00008961405,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005964086,"about_ca_topic_score_gemma":0.00001098093,"domain_scores_codex":[0.9985591,0.000009545471,0.0002689138,0.0006118042,0.0002501861,0.000300467],"domain_scores_gemma":[0.9985482,0.00003504493,0.0001104709,0.001011537,0.0001300834,0.0001646573],"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":[7.990538e-7,0.000003174563,3.30549e-7,0.000003670759,0.00001750183,0.00001272545,0.00002678036,0.00004977159,4.095468e-7,0.9220878,0.04475558,0.03304148],"study_design_scores_gemma":[0.00006136648,0.00008400279,8.371128e-7,0.00009964283,0.00001121111,0.00002208646,5.375863e-7,0.4202189,0.000007093742,0.3944803,0.1845134,0.0005006106],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[4.693139e-8,0.0001248608,0.5126659,0.0001324918,0.0003342218,0.00004151234,6.075098e-7,0.0002322656,0.4864681],"genre_scores_gemma":[0.0025223,0.0001096398,0.04740803,0.001267854,0.0006467938,0.000003206981,0.00000657587,0.00003545197,0.9480001],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.5276075,"threshold_uncertainty_score":0.9999701,"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."}}