{"id":"W3159175871","doi":"10.1093/bjs/znab121","title":"Variable impact of COVID-19 on urgent intervention in Ontario","year":2021,"lang":"en","type":"article","venue":"British journal of surgery","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institute for Clinical Evaluative Sciences; University of Toronto; St. Michael's Hospital","funders":"Ministry of Long-Term Care; Canadian Institutes of Health Research; Heart and Stroke Foundation of Canada; Ontario Ministry of Health and Long-Term Care; Ministry of Health, Ontario","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Psychological intervention; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Variable (mathematics); Pandemic; Intervention (counseling); Medical emergency; Intensive care medicine; Virology; Nursing; Internal medicine; Outbreak; Disease","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":[0.0009963945,0.0003090621,0.0004781063,0.0009618422,0.002056978,0.001758654,0.00105577,0.00065316,0.005716327],"category_scores_gemma":[0.008562754,0.0003824951,0.001367201,0.002788397,0.0009955117,0.0006877538,0.002463554,0.001902989,0.0002527671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.05070383,"about_ca_system_score_gemma":0.07307471,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9861655,"about_ca_topic_score_gemma":0.9925659,"domain_scores_codex":[0.9959589,0.0004598994,0.0003881634,0.0002494347,0.00100576,0.001937911],"domain_scores_gemma":[0.9905398,0.0007882052,0.002403099,0.0002093791,0.002466786,0.003592753],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005120703,0.00008323028,0.9691414,0.0003757797,0.0003606632,0.0003167142,0.001605984,0.0006218765,0.0002818879,0.0009450345,0.01071196,0.01504332],"study_design_scores_gemma":[0.00002828458,0.00004948707,0.9936405,0.0002529915,0.00007998001,0.00004958671,0.001725962,0.0002725711,0.00004670584,0.000103718,0.003726446,0.00002375888],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9418647,0.005989083,0.0002998053,0.01511095,0.0002704254,0.0001281433,0.01683651,0.00004468387,0.01945563],"genre_scores_gemma":[0.9939858,0.001366545,0.0001978232,0.0009537922,0.00005623072,0.00003034924,0.002019221,0.00001749216,0.001372718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05070383,"threshold_uncertainty_score":0.3678837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1140096074024774,"score_gpt":0.3889452057997895,"score_spread":0.2749355983973121,"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."}}