{"id":"W3097467938","doi":"10.2196/24481","title":"Peer Review 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":"Pharmaceutical studies and practices","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dalhousie University","funders":"","keywords":"Repurposing; Coronavirus disease 2019 (COVID-19); Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Drug repositioning; Business; Computer science; Virology; Medicine; Pharmacology; Drug; Engineering; Waste management; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.04397934,0.0009016195,0.001824331,0.002665168,0.005691808,0.01044243,0.003556274,0.0148988,0.04691325],"category_scores_gemma":[0.300354,0.0007026806,0.001971663,0.001487539,0.003795539,0.004059737,0.004283485,0.009230313,0.02873707],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003777591,"about_ca_system_score_gemma":0.02887191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003519241,"about_ca_topic_score_gemma":0.007579884,"domain_scores_codex":[0.9329544,0.01837848,0.005469903,0.003451959,0.03633945,0.003405857],"domain_scores_gemma":[0.525284,0.03677099,0.01447624,0.0143655,0.3848617,0.02424154],"domain_codex":null,"domain_gemma":"evaluation","domain_candidate":"evaluation","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004877541,0.00001666654,0.0002362408,0.0003579753,0.00002981197,0.0001846864,0.0001821741,0.00001951592,0.0003171091,0.000956809,0.98213,0.01552013],"study_design_scores_gemma":[0.00005521289,0.00004151245,0.0009218627,0.0008069625,0.00003510763,0.0002565419,0.0005199599,0.0002721961,0.0005146749,0.001870764,0.9946667,0.00003857824],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.001882502,0.002970184,0.002942447,0.5663967,0.3894983,0.0008714541,0.0005570364,0.0005535777,0.03432774],"genre_scores_gemma":[0.05087756,0.01080827,0.01203945,0.3965104,0.3396572,0.001107342,0.00188065,0.001487275,0.1856319],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9560207,"threshold_uncertainty_score":0.2325877,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1276106882923037,"score_gpt":0.434667100852888,"score_spread":0.3070564125605843,"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."}}