{"id":"W3099674185","doi":"10.1002/med.21749","title":"Optimizing clinical research procedures in public health emergencies","year":2020,"lang":"en","type":"review","venue":"Medicinal Research Reviews","topic":"Disaster Response and Management","field":"Health Professions","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Princess Margaret Cancer Centre; Toronto Rehabilitation Institute; University of Toronto","funders":"","keywords":"Public health; Pandemic; Clinical trial; Medicine; Health care; Bridge (graph theory); Disease; Coronavirus disease 2019 (COVID-19); Political science; Nursing; Infectious disease (medical specialty); Pathology","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_narrow","sts","research_integrity","insufficient_payload"],"consensus_categories":["metaresearch","insufficient_payload"],"category_scores_codex":[0.2127594,0.0006965034,0.006414471,0.002838615,0.001546039,0.00008613502,0.002702335,0.0006781803,0.001837549],"category_scores_gemma":[0.07208491,0.0004602747,0.000791418,0.006683766,0.0008154667,0.0002220876,0.002905213,0.01526882,0.01032828],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002003003,"about_ca_system_score_gemma":0.02112169,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004437577,"about_ca_topic_score_gemma":0.001328137,"domain_scores_codex":[0.866195,0.1143856,0.007635534,0.002126278,0.004692883,0.00496468],"domain_scores_gemma":[0.9839251,0.009765415,0.001202506,0.001942598,0.0009030225,0.002261377],"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":[0.00002280013,0.0001281755,0.0000150776,0.09952059,0.00004483794,0.0001068371,0.003160936,6.426928e-9,1.043564e-8,0.001154153,0.3058176,0.590029],"study_design_scores_gemma":[0.0003446635,0.0006568155,0.00001103038,0.1210064,0.00003780421,0.000004179769,0.005685329,0.000003684509,1.335412e-9,0.0001022762,0.871889,0.0002587847],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.000001043,0.9369928,0.00005270056,0.01363729,0.0007624479,0.01656408,0.00001489591,0.00006862409,0.03190609],"genre_scores_gemma":[0.000002330907,0.9743066,0.0004309166,0.001486781,0.002046649,0.008272218,0.00007992837,0.0001408525,0.01323368],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.5897702,"threshold_uncertainty_score":0.9997849,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.9373669451195307,"score_gpt":0.7607987053568865,"score_spread":0.1765682397626441,"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."}}