{"id":"W3131018108","doi":"10.1101/2021.02.24.21250469","title":"Prophylaxis for covid-19: living systematic review and network meta-analysis","year":2021,"lang":"en","type":"preprint","venue":"medRxiv","topic":"COVID-19 Clinical Research Studies","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; Centre Hospitalier Universitaire de Sherbrooke; Western University; University of Toronto; Schwartz/Reisman Emergency Medicine Institute; McMaster University; Impact","funders":"Canadian Institutes of Health Research; Canadian Allergy, Asthma and Immunology Foundation","keywords":"Hydroxychloroquine; Medicine; Meta-analysis; Randomized controlled trial; Placebo; Confidence interval; Credible interval; Cochrane Library; Systematic review; MEDLINE; Relative risk; Grading (engineering); Internal medicine; Intensive care medicine; Coronavirus disease 2019 (COVID-19); Alternative medicine; Disease; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03164954,0.003513756,0.0191386,0.008975753,0.0007199002,0.004038847,0.002577842,0.002554031,0.00715559],"category_scores_gemma":[0.08065309,0.001553992,0.03665397,0.00682138,0.0008434777,0.002670368,0.002278884,0.001951814,0.0005362968],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004247073,"about_ca_system_score_gemma":0.004432037,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007944448,"about_ca_topic_score_gemma":0.01402009,"domain_scores_codex":[0.9669048,0.02185312,0.005701972,0.002440162,0.002490661,0.0006092962],"domain_scores_gemma":[0.9642617,0.02655971,0.00512989,0.001327149,0.002309278,0.0004122361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.002160054,0.00002336472,0.002286236,0.2750055,0.7115114,0.0000750848,0.00005247921,0.0005728484,0.0001186968,0.0002200266,0.0008584924,0.007115747],"study_design_scores_gemma":[0.001871314,0.0002289037,0.00189161,0.02782935,0.9654201,0.00006711636,0.00003350202,0.0004010762,0.00008716438,0.000475009,0.001668296,0.00002662516],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.008420605,0.9800738,0.003327783,0.0008967479,0.0006281549,0.003049276,0.002512638,0.0001342264,0.000956916],"genre_scores_gemma":[0.4293637,0.5236026,0.01979061,0.004161622,0.0008541624,0.01699643,0.003694527,0.0001580812,0.001378264],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03164954,"threshold_uncertainty_score":0.1673808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2047160618126685,"score_gpt":0.469023331773373,"score_spread":0.2643072699607044,"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."}}