{"id":"W2504504427","doi":"10.4018/978-1-60566-663-1.ch011","title":"Construction of Bayesian Models","year":2009,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","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; Interdependence; Machine learning; Bayesian probability; Variable-order Bayesian network; Artificial intelligence; Conditional probability; Data mining; Bayesian inference; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00455513,0.001315122,0.001080234,0.003196016,0.001247721,0.004780335,0.002670502,0.002020647,0.01793818],"category_scores_gemma":[0.01855577,0.001286756,0.001876221,0.00271615,0.002068819,0.005672395,0.003402576,0.003814608,0.00569057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002486181,"about_ca_system_score_gemma":0.002520223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002851041,"about_ca_topic_score_gemma":0.0027629,"domain_scores_codex":[0.9961864,0.001777981,0.0002092978,0.0005360035,0.001147447,0.0001429846],"domain_scores_gemma":[0.9947095,0.003507453,0.0002730872,0.0005143486,0.0008505965,0.0001450173],"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":[0.00001283134,0.00002104624,0.0002574115,0.0001995864,0.00004516124,0.00006548627,0.00027649,0.02443392,0.0003112354,0.907683,0.006889273,0.05980454],"study_design_scores_gemma":[0.000007469097,0.000008525568,0.00008083405,0.0001384188,0.00001753308,0.00005668791,0.0000725964,0.06479423,0.0003017791,0.8991723,0.0353331,0.00001642842],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0009394321,0.0006354546,0.9759374,0.0009832151,0.00008062566,0.00009580909,0.0003903477,0.0002416857,0.02069608],"genre_scores_gemma":[0.0517236,0.003675633,0.9263836,0.0005375332,0.0002147011,0.0007434289,0.001704109,0.0003248288,0.01469261],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01793818,"threshold_uncertainty_score":0.06000912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02555945619491839,"score_gpt":0.2413937573662983,"score_spread":0.2158343011713799,"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."}}