{"id":"W2196825067","doi":"10.1038/nmeth.3550","title":"Bayesian networks","year":2015,"lang":"en","type":"article","venue":"Nature Methods","topic":"Bayesian Modeling and Causal Inference","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada's Michael Smith Genome Sciences Centre","funders":"","keywords":"Computer science; Computational biology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001843219,0.0001306404,0.0001604874,0.00006620525,0.00005594035,0.0001379902,0.0008906442,0.00035313,0.000005855192],"category_scores_gemma":[0.0002657757,0.0001088502,0.00005516955,0.0004820949,0.00002619564,0.0002413523,0.0001872994,0.0008024235,0.00001716533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003204155,"about_ca_system_score_gemma":0.00009590502,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007018126,"about_ca_topic_score_gemma":0.000001403835,"domain_scores_codex":[0.9986058,0.0003994848,0.0001508826,0.0003475629,0.0002152043,0.0002810606],"domain_scores_gemma":[0.9988014,0.0001424134,0.00005000221,0.000607587,0.0001513227,0.000247329],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005809906,0.00002759034,0.0001064534,0.000003462032,0.00001339873,0.00001627657,0.0002916563,0.003249777,0.0001108091,0.2375882,0.01264571,0.7459409],"study_design_scores_gemma":[0.0001559263,0.00004552513,0.00008805321,0.00001004336,0.000004623515,0.00002623163,0.000008857423,0.8936762,0.0007716921,0.07818424,0.02683949,0.000189105],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0000302935,0.00213094,0.9802827,0.001059159,0.001536088,0.00005044776,2.358637e-7,0.0002784697,0.01463169],"genre_scores_gemma":[0.1895193,0.000008054603,0.8084132,0.001509281,0.0002002399,0.000004670917,9.3613e-7,0.000007619622,0.0003366563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.8904265,"threshold_uncertainty_score":0.4438784,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04621978217062851,"score_gpt":0.391217255033282,"score_spread":0.3449974728626535,"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."}}