{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.01953374,0.0007984936,0.001864057,0.003279558,0.0006194973,0.00378701,0.001632453,0.003370781,0.007228201],"category_scores_gemma":[0.03793639,0.0004308352,0.001539879,0.002762166,0.001911756,0.003787893,0.001738267,0.002820757,0.002662484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001330352,"about_ca_system_score_gemma":0.009728839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001572018,"about_ca_topic_score_gemma":0.00288545,"domain_scores_codex":[0.9906145,0.006040969,0.001398992,0.0004954248,0.001184535,0.0002654978],"domain_scores_gemma":[0.9511061,0.04091733,0.002663107,0.001072495,0.003734419,0.0005066309],"domain_codex":null,"domain_gemma":"methods","domain_candidate":"methods","domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001598725,0.0001311566,0.0003291806,0.08383605,0.0002355478,0.0001800029,0.0003972417,0.0003310493,0.0005581856,0.01231034,0.02015056,0.8813808],"study_design_scores_gemma":[0.000141927,0.0003316432,0.001491106,0.1056779,0.0005457028,0.001123979,0.0006808118,0.0001635578,0.0007656412,0.0146028,0.8744174,0.00005749139],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001644029,0.9928327,0.001140423,0.002660009,0.0006280552,0.0001276537,0.00004096434,0.00001728791,0.002388512],"genre_scores_gemma":[0.002546198,0.9911292,0.003081548,0.001942117,0.0005689184,0.0001927342,0.00006533804,0.00000737939,0.0004666615],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9804662,"threshold_uncertainty_score":0.1033055,"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."}}