{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003884764,0.001301562,0.001794957,0.003782585,0.001382732,0.004885519,0.002297947,0.002843296,0.02459878],"category_scores_gemma":[0.02727566,0.00120998,0.001542576,0.003036496,0.002605953,0.005810644,0.001986323,0.003650254,0.006440863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002193899,"about_ca_system_score_gemma":0.00167255,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003802382,"about_ca_topic_score_gemma":0.003297496,"domain_scores_codex":[0.9955448,0.002294549,0.0001621885,0.00100855,0.0008337827,0.0001560707],"domain_scores_gemma":[0.9898364,0.007134169,0.0006054872,0.001209963,0.000973728,0.0002403184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00002777727,0.00003192306,0.000552958,0.0001326706,0.00007078645,0.0000448162,0.00009916647,0.01909333,0.0002118742,0.9285133,0.007710476,0.04351095],"study_design_scores_gemma":[0.00001308219,0.000005858833,0.0002043913,0.00005889485,0.00002653589,0.00005820232,0.00002116136,0.05636686,0.0001391086,0.925003,0.01808945,0.0000134623],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002851835,0.002330972,0.9583228,0.001672114,0.0002081429,0.00009984442,0.0009952385,0.0003311207,0.03318789],"genre_scores_gemma":[0.3035135,0.01077936,0.616632,0.00170917,0.001455817,0.0009791787,0.004748323,0.0005024906,0.05968019],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.02459878,"threshold_uncertainty_score":0.08229113,"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."}}