{"id":"W3095785912","doi":"10.1186/s12874-020-01128-2","title":"Spie charts for quantifying treatment effectiveness and safety in multiple outcome network meta-analysis: a proof-of-concept study","year":2020,"lang":"en","type":"article","venue":"BMC Medical Research Methodology","topic":"Meta-analysis and systematic reviews","field":"Decision Sciences","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; University of Toronto; St. Michael's Hospital; McMaster University Medical Centre; St. Joseph’s Healthcare Hamilton; Impact","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Meta-analysis; Outcome (game theory); Proof of concept; Computer science; MEDLINE; Medicine; Data science; Mathematics; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.1429417,0.004069374,0.006778423,0.01068565,0.0009721516,0.004779079,0.003065933,0.00344494,0.01084988],"category_scores_gemma":[0.3427406,0.001646672,0.01334325,0.005740811,0.002756575,0.004926141,0.004172673,0.004839373,0.0006616382],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00298441,"about_ca_system_score_gemma":0.004764176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002781327,"about_ca_topic_score_gemma":0.001869139,"domain_scores_codex":[0.8797155,0.1025777,0.003517892,0.004136579,0.009434966,0.0006173748],"domain_scores_gemma":[0.5833848,0.377404,0.01535228,0.01266602,0.01032982,0.0008630085],"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":[0.01334734,0.000589244,0.02167645,0.03212576,0.04277799,0.0006806653,0.0009524546,0.246671,0.002826659,0.1634391,0.03912066,0.4357927],"study_design_scores_gemma":[0.008313602,0.007866755,0.01228023,0.01221469,0.03486905,0.001558432,0.0004998334,0.6815282,0.008076498,0.1683878,0.06357199,0.0008329127],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01994115,0.03008288,0.9209804,0.002517074,0.001281724,0.006091137,0.007725572,0.003173085,0.008207093],"genre_scores_gemma":[0.261247,0.009173358,0.7080421,0.001572533,0.0006554156,0.01514777,0.002616676,0.0005944673,0.0009507496],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1429417,"threshold_uncertainty_score":0.7559571,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9861603358130153,"score_gpt":0.7232262615792209,"score_spread":0.2629340742337944,"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."}}