{"id":"W2099343512","doi":"","title":"A Comparative Study of Variable Elimination and Arc Reversal in Bayesian Network Inference","year":2009,"lang":"en","type":"article","venue":"","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; University of Regina","funders":"","keywords":"Variable elimination; Bayesian network; Inference; Variable (mathematics); Computer science; Arc (geometry); Bayesian probability; Computation; Bayesian inference; Algorithm; Artificial intelligence; 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":[0.04129498,0.001131216,0.00194756,0.002984829,0.001010398,0.002571219,0.003713711,0.001864242,0.003797976],"category_scores_gemma":[0.1582525,0.0008217409,0.001580453,0.003878697,0.003662845,0.007212812,0.002316189,0.003853082,0.0006385259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002063347,"about_ca_system_score_gemma":0.00334287,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007786347,"about_ca_topic_score_gemma":0.007993283,"domain_scores_codex":[0.9671484,0.02720774,0.0006488702,0.001262503,0.003011003,0.0007215595],"domain_scores_gemma":[0.7295215,0.2497811,0.003402076,0.01137086,0.005181084,0.000743412],"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":[0.0008963134,0.0002382785,0.004692756,0.0004152065,0.000343469,0.000107024,0.0005713668,0.2413317,0.001143392,0.3801825,0.002261147,0.367817],"study_design_scores_gemma":[0.0002305852,0.000415839,0.001378386,0.0001221278,0.0002122764,0.0001979092,0.0002286961,0.6894973,0.002215053,0.2996872,0.005725448,0.00008918604],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02606597,0.002129052,0.9639304,0.001018379,0.00007143558,0.0001263874,0.00006864174,0.0004626004,0.00612723],"genre_scores_gemma":[0.3999425,0.002519691,0.5931371,0.0005479135,0.0001763169,0.0002713414,0.0002798292,0.0003436067,0.002781626],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.04129498,"threshold_uncertainty_score":0.2183913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03168375723732805,"score_gpt":0.2974524373326044,"score_spread":0.2657686800952764,"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."}}