{"id":"W2515461814","doi":"","title":"Bayesian Network Inference with Simple Propagation","year":2016,"lang":"en","type":"article","venue":"VBN Forskningsportal (Aalborg Universitet)","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Inference; Simple (philosophy); Bayesian network; Artificial intelligence; Bayesian probability","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006389038,0.001122741,0.001662866,0.002391224,0.001237703,0.002965198,0.003634187,0.001847205,0.005380827],"category_scores_gemma":[0.03578997,0.001095262,0.001747035,0.002722923,0.001985832,0.006125756,0.003818205,0.003790539,0.00192834],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001266222,"about_ca_system_score_gemma":0.002542247,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005092084,"about_ca_topic_score_gemma":0.006662387,"domain_scores_codex":[0.9953543,0.001706645,0.0002418951,0.0008057292,0.001670199,0.000221201],"domain_scores_gemma":[0.98146,0.01266253,0.0009237506,0.002865733,0.001732581,0.0003555188],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.000316163,0.0001272462,0.001992135,0.0003490113,0.0002514035,0.0001909441,0.000372952,0.4367453,0.004007612,0.2361203,0.007617186,0.3119097],"study_design_scores_gemma":[0.00003852913,0.00002746307,0.0001130495,0.00001519391,0.00003060733,0.00003573906,0.00001363477,0.8209835,0.001275897,0.1752841,0.002162608,0.00001970813],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001710103,0.00007629261,0.996908,0.0001138605,0.00002668809,0.00003060569,0.00006485431,0.0005659427,0.0005035721],"genre_scores_gemma":[0.1443682,0.000345249,0.8509747,0.0002928048,0.0001901768,0.0002863979,0.0005720258,0.0004157849,0.002554469],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006389038,"threshold_uncertainty_score":0.03378886,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00916352687830911,"score_gpt":0.2065949784494544,"score_spread":0.1974314515711453,"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."}}