{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000199132,0.0002608481,0.0002254827,0.0001410961,0.0002795342,0.0001144853,0.0008340573,0.0001121231,0.0001118523],"category_scores_gemma":[0.00002844204,0.000180659,0.0000672908,0.0007458137,0.0001230546,0.001394941,0.0001955427,0.00015091,0.0001079768],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009250896,"about_ca_system_score_gemma":0.0002298069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008729587,"about_ca_topic_score_gemma":0.00007405924,"domain_scores_codex":[0.9981796,0.00004008955,0.0002333393,0.0005958335,0.0003780649,0.000573044],"domain_scores_gemma":[0.9986625,0.00009361366,0.0002091818,0.0005813538,0.0002108526,0.0002425033],"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":[0.0001605309,0.0001485687,0.08607395,0.0000411615,0.0001378847,0.0004493404,0.001402942,0.003117835,0.002057526,0.8001751,0.006998295,0.09923682],"study_design_scores_gemma":[0.01561445,0.007270498,0.07950498,0.00376507,0.000507551,0.000634575,0.001562931,0.4381222,0.02246965,0.244559,0.1745981,0.01139104],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04958464,0.00002204716,0.9428624,0.0005504224,0.0001010573,0.0001615365,0.000004221424,0.0004040915,0.006309602],"genre_scores_gemma":[0.9801501,0.00001541482,0.01783452,0.0001959496,0.00009011911,0.000004073778,0.00001054817,0.00001923864,0.001680026],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9305655,"threshold_uncertainty_score":0.736706,"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."}}