{"id":"W3121093220","doi":"10.1186/s12871-021-01233-9","title":"Postoperative outcomes in surgical COVID-19 patients: a multicenter cohort study","year":2021,"lang":"en","type":"article","venue":"BMC Anesthesiology","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"Montreal Heart Institute; McGill University Health Centre; Institut universitaire de cardiologie et de pneumologie de Québec; Université de Sherbrooke; Centre Hospitalier Universitaire Sainte-Justine; Hôpital Maisonneuve-Rosemont; Hôpital du Sacré-Cœur de Montréal; Université Laval; Université de Montréal; The Quebec Population Health Research Network; Centre Hospitalier de l’Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Université de Montréal","keywords":"Medicine; Coronavirus disease 2019 (COVID-19); Anesthesiology; Concomitant; Cohort; Cohort study; Pandemic; Retrospective cohort study; Surgery; Population; Epidemiology; Internal medicine; Anesthesia; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004052015,0.0001965464,0.0007474925,0.0001477519,0.00007396106,0.000009764381,0.00007930773,0.0001711323,0.0004361966],"category_scores_gemma":[0.002848984,0.0001479083,0.0000997516,0.0002047729,0.00008071955,0.0000465254,0.00006440089,0.0002641741,0.00008977442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003455795,"about_ca_system_score_gemma":0.001240205,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008750726,"about_ca_topic_score_gemma":0.002405535,"domain_scores_codex":[0.9977341,0.0007026134,0.000451988,0.0004962909,0.0002150599,0.0003999162],"domain_scores_gemma":[0.9979665,0.0009843434,0.00006944691,0.0003806491,0.0001889795,0.0004101028],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007928336,0.002072228,0.9921451,0.00006613779,0.00003511246,0.002927162,0.001426686,0.000007036053,0.000003852324,0.00004683395,0.0001603802,0.0003166751],"study_design_scores_gemma":[0.007140753,0.001446789,0.9808223,0.00001775121,0.00004044332,0.0001262575,0.0009510192,0.00002060088,0.00001056684,0.0000212639,0.009265134,0.0001371437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9933789,0.0001078385,0.00001051707,0.004823557,0.0001128988,0.001321575,0.000005858485,0.00004956529,0.0001892907],"genre_scores_gemma":[0.9777164,0.00001044912,0.0001510948,0.02137118,0.00004280944,0.00008793666,0.00006878193,0.00001821984,0.0005331335],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01654763,"threshold_uncertainty_score":0.6031523,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06162443174795004,"score_gpt":0.4042105946981933,"score_spread":0.3425861629502432,"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."}}