{"id":"W3028033786","doi":"10.1016/j.jval.2020.04.1147","title":"PNS147 VISUALIZATION AND COMMUNICATION OF RESULTS FROM BAYESIAN NETWORK META-ANALYSIS: PAST, PRESENT, AND FUTURE","year":2020,"lang":"en","type":"article","venue":"Value in Health","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"EVERSANA (Canada)","funders":"","keywords":"Computer science; Bayesian probability; Visualization; Bayesian network; Data science; Bayesian statistics; Bayesian inference; Data mining; Artificial intelligence","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.0317608,0.00266005,0.002764802,0.008151921,0.0009284212,0.01032929,0.003687656,0.003552703,0.1227979],"category_scores_gemma":[0.2506162,0.001693411,0.003549751,0.008104479,0.00118222,0.00640873,0.006865039,0.003791159,0.01600128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002019479,"about_ca_system_score_gemma":0.007959627,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006086423,"about_ca_topic_score_gemma":0.006724961,"domain_scores_codex":[0.9818575,0.0120777,0.002216095,0.001047866,0.002488804,0.0003121107],"domain_scores_gemma":[0.8024977,0.1615548,0.006349277,0.01306335,0.01352943,0.003005384],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002548078,0.0001515433,0.003791651,0.008618237,0.001251666,0.0006352678,0.001744835,0.007948075,0.001416669,0.03984369,0.560737,0.3713133],"study_design_scores_gemma":[0.002873135,0.0002961798,0.004335609,0.008633277,0.001231281,0.0009355086,0.0006079743,0.107547,0.005396244,0.2406432,0.6270382,0.0004623203],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01017006,0.01156409,0.6391786,0.05671939,0.007590172,0.001328247,0.05678409,0.1837615,0.03290377],"genre_scores_gemma":[0.09897635,0.01003124,0.8166041,0.005749873,0.003742267,0.002832081,0.02450697,0.02539657,0.0121605],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9682392,"threshold_uncertainty_score":0.4107998,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.7322393485829635,"score_gpt":0.5182469085323363,"score_spread":0.2139924400506271,"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."}}