{"id":"W4285806644","doi":"10.1016/j.jclinepi.2022.07.008","title":"Resources supporting trustworthy, rapid and equitable evidence synthesis and guideline development: results from the COVID-19 evidence network to support decision-making (COVID-END)","year":2022,"lang":"en","type":"article","venue":"Journal of Clinical Epidemiology","topic":"Clinical practice guidelines implementation","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":false,"ca_institutions":"Impact; Public Health Ontario; McMaster University; Queen's University; University of Toronto; St. Michael's Hospital; Université de Montréal; Institut National d'Excellence en Santé et en Services Sociaux; Bruyère; University of Ottawa","funders":"Pan American Health Organization","keywords":"Coronavirus disease 2019 (COVID-19); Trustworthiness; Guideline; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); MEDLINE; Evidence-based medicine; Coronavirus Infections; Evidence-based practice; Medicine; Computer science; Virology; Political science; Internet privacy; Alternative medicine; Pathology; Outbreak; Disease","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.2427407,0.0003346317,0.00267795,0.0001739488,0.0008869866,0.0000523402,0.0007050525,0.0002451689,0.001713614],"category_scores_gemma":[0.9110124,0.0002323166,0.0004077316,0.0005005996,0.0003768668,0.000443011,0.001619428,0.001918965,0.00001172057],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002728868,"about_ca_system_score_gemma":0.002625408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004067751,"about_ca_topic_score_gemma":0.0003053001,"domain_scores_codex":[0.963219,0.01231088,0.02087574,0.001227984,0.001252327,0.001114023],"domain_scores_gemma":[0.114092,0.8696829,0.01258568,0.001008135,0.0007516987,0.001879552],"domain_codex":null,"domain_gemma":"methods","domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.01444689,0.00009687394,0.3567892,0.00003904023,0.000262048,0.0003293177,0.0006579079,0.005437586,0.00001333236,0.00003721195,0.2108498,0.4110407],"study_design_scores_gemma":[0.003575063,0.003680672,0.176992,0.001243226,0.001068887,0.00187805,0.002320042,0.003253149,0.000002872167,0.007367347,0.7982039,0.0004147419],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.592845,0.006386616,0.04703188,0.351349,0.001441462,0.0007977976,0.0000585407,0.00004028678,0.00004946021],"genre_scores_gemma":[0.675009,0.003058777,0.1444373,0.1751465,0.002240536,0.00002715989,0.00001367505,0.00003276107,0.00003425091],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.857372,"threshold_uncertainty_score":0.999199,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.5968622315947864,"score_gpt":0.6057942633176717,"score_spread":0.00893203172288537,"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."}}