{"id":"W3083248091","doi":"10.1001/jamanetworkopen.2020.15031","title":"Evaluation of Cumulative Meta-analysis of Rare Events as a Tool for Clinical Trials Safety Monitoring","year":2020,"lang":"en","type":"review","venue":"JAMA Network Open","topic":"Health and Medical Research Impacts","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; St. Michael's Hospital","funders":"","keywords":"Meta-analysis; Medicine; Clinical trial; Thrombosis; Safety monitoring; Intensive care medicine; Internal medicine; Medical physics; Bioinformatics","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":["metaresearch","metaepi_broad","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.1859871,0.0003604775,0.01567571,0.0002403678,0.00006489536,0.0000280528,0.0006193672,0.0006597845,0.001279034],"category_scores_gemma":[0.4688236,0.0002216499,0.006174602,0.001823363,0.00006243511,0.0001285238,0.0003405388,0.0008537217,0.00001670232],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003718485,"about_ca_system_score_gemma":0.01900635,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008786649,"about_ca_topic_score_gemma":0.000004135399,"domain_scores_codex":[0.9704075,0.01792984,0.006511582,0.0007507774,0.003573455,0.0008267957],"domain_scores_gemma":[0.9308747,0.05169096,0.006985492,0.00168252,0.0040105,0.004755818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001037625,0.0001080999,0.00005003154,0.004910398,0.1801078,0.000004289452,0.00004043926,0.0000401801,1.582884e-8,0.0000185898,0.006178292,0.8075042],"study_design_scores_gemma":[0.00202811,0.0005048949,0.0001550419,0.004103723,0.4640236,9.312662e-7,0.00001026509,0.0007594425,2.701355e-7,0.00009004026,0.5282302,0.00009344574],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00001342454,0.9800116,0.000337139,0.001895196,0.000276119,0.0162275,0.000418307,0.000007647289,0.000813095],"genre_scores_gemma":[0.0001512828,0.9939822,0.001476367,0.0004224527,0.001752957,0.00114422,0.0006986035,0.00004418997,0.0003277037],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.8074108,"threshold_uncertainty_score":0.9996339,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9085075946636897,"score_gpt":0.7185001751267622,"score_spread":0.1900074195369275,"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."}}