{"id":"W3047955173","doi":"10.1016/j.drudis.2020.08.001","title":"Global clinical trial mobilization for COVID-19: higher, faster, stronger","year":2020,"lang":"en","type":"article","venue":"Drug Discovery Today","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"Canadian Institutes of Health Research","keywords":"Clinical trial; Coronavirus disease 2019 (COVID-19); Declaration; Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Public health; Medicine; Business; Outbreak; Political science; Virology; Internal medicine; Infectious disease (medical specialty); Disease; Pathology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1491234,0.001486696,0.002523868,0.004529909,0.003415139,0.02068384,0.002921853,0.01191522,0.09463203],"category_scores_gemma":[0.2134303,0.001037327,0.002806417,0.003146482,0.005242829,0.01337753,0.01763,0.01918015,0.01951726],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007754268,"about_ca_system_score_gemma":0.03156819,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002797301,"about_ca_topic_score_gemma":0.004126047,"domain_scores_codex":[0.9230275,0.04832951,0.003769169,0.004016694,0.0129634,0.007893672],"domain_scores_gemma":[0.7389619,0.08779137,0.02190804,0.02385215,0.04406562,0.08342089],"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":[0.001779363,0.0005823529,0.00617286,0.000829591,0.0003506843,0.0001834905,0.0004411984,0.0009624874,0.0009046157,0.0977837,0.7577658,0.1322438],"study_design_scores_gemma":[0.003603794,0.0010405,0.02352533,0.002227341,0.0002338755,0.0004194356,0.0005913232,0.001512619,0.001021486,0.08783209,0.8777648,0.0002274138],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.008286873,0.0076394,0.01181186,0.868619,0.0202625,0.001069437,0.002085536,0.001450767,0.07877453],"genre_scores_gemma":[0.1466628,0.005158444,0.03242557,0.7319313,0.02708523,0.002804274,0.00462288,0.002656761,0.0466527],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.8508766,"threshold_uncertainty_score":0.7886493,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5044455888454863,"score_gpt":0.5026072730026715,"score_spread":0.001838315842814797,"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."}}