{"id":"W2078109946","doi":"10.1109/tcyb.2013.2290775","title":"Acquisition of Causal Models for Local Distributions in Bayesian Networks","year":2014,"lang":"en","type":"article","venue":"IEEE Transactions on Cybernetics","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Bayesian network; Bayesian probability; Computer science; Econometrics; Mathematics; Artificial intelligence","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":[0.0002357442,0.0001402941,0.0001867653,0.0001117553,0.0000895796,0.000039511,0.0003345521,0.0001405126,0.000005073094],"category_scores_gemma":[0.000003086692,0.000148696,0.000091997,0.0003121939,0.00008059464,0.0001807356,0.000002530444,0.0001976827,0.000003112843],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005889476,"about_ca_system_score_gemma":0.00004701393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000744137,"about_ca_topic_score_gemma":0.00009861144,"domain_scores_codex":[0.9988725,0.00006566728,0.0003261266,0.0002941972,0.0001636772,0.000277859],"domain_scores_gemma":[0.9991728,0.0001820557,0.0000657952,0.0003770182,0.0001109258,0.00009137215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001352039,0.0001342138,0.000002352806,0.00000881106,0.000006793759,3.737263e-7,0.00009107068,0.868427,0.00007018538,0.06182224,0.00003145414,0.06939194],"study_design_scores_gemma":[0.0003671781,0.0002052115,0.00003141087,0.00004684155,0.00001315038,0.000003252012,0.000007925225,0.9488088,0.002892821,0.04745839,0.00002168279,0.0001432616],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0009620226,0.0000182751,0.9979898,0.0002595976,0.0003066671,0.0001699382,0.00003142552,0.00007202629,0.0001902433],"genre_scores_gemma":[0.966069,0.00002179963,0.03370675,0.00008115813,0.00002528241,0.0000459194,0.000006483399,0.00001096693,0.00003256316],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.965107,"threshold_uncertainty_score":0.6063648,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01800214132379012,"score_gpt":0.2460013509870267,"score_spread":0.2279992096632366,"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."}}