{"id":"W3039041742","doi":"10.1016/j.jclinepi.2020.06.029","title":"Rapid review methods more challenging during COVID-19: commentary with a focus on 8 knowledge synthesis steps","year":2020,"lang":"en","type":"review","venue":"Journal of Clinical Epidemiology","topic":"Disaster Response and Management","field":"Health Professions","cited_by":122,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Wilfrid Laurier University; Bruyère; University of Manitoba; Canadian Agency for Drugs and Technologies in Health; St. Michael's Hospital; Sunnybrook Health Science Centre; University of Ottawa; University of Calgary; George & Fay Yee Centre for Healthcare Innovation; Impact; Health Sciences Centre; Ottawa Hospital; McMaster University Medical Centre; Cochrane; University of Toronto; McMaster University; Canada Research Chairs; Queen's University","funders":"World Health Organization","keywords":"Coronavirus disease 2019 (COVID-19); Focus (optics); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Computer science; Virology; Psychology; Pathology; Physics; Infectious disease (medical specialty)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["metaresearch"],"consensus_categories":["metaresearch"],"category_scores_codex":[0.4154666,0.004751571,0.01059315,0.01524004,0.009104135,0.02584132,0.01537245,0.05030367,0.01645964],"category_scores_gemma":[0.7870672,0.004863352,0.01946872,0.01606453,0.02142182,0.03818987,0.01326566,0.05024225,0.007783809],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04736519,"about_ca_system_score_gemma":0.1299887,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02106039,"about_ca_topic_score_gemma":0.03784434,"domain_scores_codex":[0.3856085,0.4242201,0.1046931,0.01456216,0.06398444,0.006931685],"domain_scores_gemma":[0.09610425,0.7594181,0.03506885,0.01180039,0.09345587,0.004152562],"domain_codex":"methods","domain_gemma":"methods","domain_candidate":"methods","domain_consensus":"methods","study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003742974,0.00003836056,0.0002480195,0.2632043,0.001329128,0.0005053586,0.007027182,0.0005186873,0.000272946,0.02685081,0.6517118,0.04791912],"study_design_scores_gemma":[0.0003993957,0.00006467323,0.000354962,0.3741742,0.001163551,0.0004190728,0.002971153,0.0004996036,0.000319077,0.02027353,0.5991254,0.0002353598],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0001652109,0.1546669,0.004562717,0.7049452,0.1304449,0.002008476,0.0006567735,0.0001827875,0.002367017],"genre_scores_gemma":[0.007690825,0.1299662,0.02604417,0.7570342,0.0606864,0.01476063,0.0005689604,0.0003313675,0.002917232],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.5845333,"threshold_uncertainty_score":0.7208337,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.67112702438043,"score_gpt":0.6831310116647211,"score_spread":0.01200398728429108,"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."}}