{"id":"W3025682187","doi":"10.1007/s43441-020-00159-7","title":"Data Monitoring for the Chinese Clinical Trials of Remdesivir in Treating Patients with COVID-19 During the Pandemic Crisis","year":2020,"lang":"en","type":"article","venue":"Therapeutic Innovation & Regulatory Science","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Peking University; Ruijin Hospital; University of Toronto; University of Oxford","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Pharmacy; Clinical trial; Betacoronavirus; Intensive care medicine; Virology; Internal medicine; Family medicine; Outbreak; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.3801585,0.0008003699,0.001710653,0.002760489,0.002693702,0.003901038,0.002779372,0.001838824,0.003525127],"category_scores_gemma":[0.3366234,0.0008630456,0.002148256,0.004488044,0.0021593,0.003672968,0.003076658,0.003432847,0.0007279748],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004248067,"about_ca_system_score_gemma":0.02276161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002689096,"about_ca_topic_score_gemma":0.004621799,"domain_scores_codex":[0.6801086,0.2761276,0.02461352,0.004689346,0.01190279,0.002558023],"domain_scores_gemma":[0.6546791,0.1569522,0.07806781,0.06469709,0.0373905,0.008213272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.1085377,0.001516167,0.153877,0.006991176,0.003270554,0.0004622527,0.005802434,0.003861362,0.009436563,0.01714414,0.0564092,0.6326914],"study_design_scores_gemma":[0.06548997,0.0456079,0.425651,0.008446805,0.006318599,0.001081573,0.00283983,0.04348449,0.04636905,0.02755114,0.3261089,0.001050797],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4973247,0.01211825,0.2239359,0.09204209,0.004652884,0.1098484,0.01727214,0.002593506,0.04021225],"genre_scores_gemma":[0.7518758,0.001817378,0.1564002,0.01220126,0.001094846,0.07083987,0.003705973,0.0002168139,0.001847705],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3801585,"threshold_uncertainty_score":0.7643749,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3843537506151969,"score_gpt":0.5533268586993592,"score_spread":0.1689731080841622,"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."}}