{"id":"W3093001068","doi":"10.2196/24485","title":"Authors’ Response to Peer Reviews of “No Time to Waste: Real-World Repurposing of Generic Drugs as a Multifaceted Strategy Against COVID-19”","year":2020,"lang":"en","type":"article","venue":"JMIRx Med","topic":"Health Systems, Economic Evaluations, Quality of Life","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Impact; Public Health Ontario; University of Toronto","funders":"","keywords":"Repurposing; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Drug repositioning; 2019-20 coronavirus outbreak; Medicine; Computer science; Pharmacology; Virology; Engineering; Drug; Waste management; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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","insufficient_payload"],"consensus_categories":["insufficient_payload"],"category_scores_codex":[0.02423757,0.000302014,0.001996932,0.0006295164,0.0001161281,0.00005033801,0.0005094545,0.0001647778,0.00185271],"category_scores_gemma":[0.03851737,0.0003709138,0.0002425837,0.001109595,0.00006045011,0.0002143385,0.0001401992,0.0002012575,0.008757938],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007095581,"about_ca_system_score_gemma":0.0005775915,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001062832,"about_ca_topic_score_gemma":0.00006519484,"domain_scores_codex":[0.9911298,0.001366829,0.005895329,0.0008694999,0.0002487377,0.0004897847],"domain_scores_gemma":[0.9935533,0.001233286,0.002890185,0.0008927932,0.0002893215,0.001141086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002025039,0.0002401962,0.001273218,0.00250302,0.00017307,0.000008500488,0.04092515,0.007446606,0.01222146,0.002342193,0.928562,0.002279474],"study_design_scores_gemma":[0.001019182,0.0003955204,0.0009005934,0.0001846715,0.00001297624,9.781129e-7,0.001031836,0.006507187,0.0004234645,0.0001447708,0.9889337,0.0004450619],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6829449,0.001003485,0.001002511,0.2943608,0.0004264804,0.00530132,0.0006864557,0.0001324951,0.01414152],"genre_scores_gemma":[0.452074,0.0007523564,0.04527427,0.254972,0.00179177,0.001845768,0.0003964058,0.0004295529,0.2424638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2308708,"threshold_uncertainty_score":0.9998743,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3909561862959646,"score_gpt":0.4691186783082589,"score_spread":0.07816249201229425,"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."}}