{"id":"W3131619600","doi":"10.1503/cjs.022220","title":"Prioritizing surgery during the COVID-19 pandemic: the Quebec guidelines","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Surgery","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Urological Association; Université de Montréal; Centre Integre de Sante et de Services Sociaux de Laval; Centre hospitalier universitaire de Québec; McGill University Health Centre","funders":"","keywords":"Medicine; Triage; Pandemic; Status quo; Coronavirus disease 2019 (COVID-19); Anticipation (artificial intelligence); Medical emergency; Health care; Population; MEDLINE; Intensive care medicine; Prioritization; Surge Capacity; Disease; Environmental health; Infectious disease (medical specialty); Management science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003409666,0.0001672721,0.0005675001,0.0003881613,0.0005770939,0.0001177061,0.0001434913,0.0001143347,0.0002591943],"category_scores_gemma":[0.02060761,0.0001002348,0.000479464,0.0005483668,0.0001607613,0.0001453484,0.00001880029,0.0006181266,0.000007168695],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001202968,"about_ca_system_score_gemma":0.05461346,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1071931,"about_ca_topic_score_gemma":0.4510521,"domain_scores_codex":[0.997601,0.0002602382,0.000989973,0.000159376,0.0003871931,0.0006022177],"domain_scores_gemma":[0.9919172,0.004292966,0.0003911651,0.000415966,0.0009291029,0.002053584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004996877,0.000007389881,0.8678182,0.0002679685,0.00009580079,0.007068553,0.0006943324,0.000013696,0.0003671795,0.00003001031,0.1132161,0.01037083],"study_design_scores_gemma":[0.0002032451,0.000006827664,0.3912815,0.0004325944,0.00006951533,0.01264948,0.001114162,0.000003887619,0.00007419952,0.00006887801,0.5939746,0.0001211237],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7735538,0.01281549,0.00003169649,0.2120769,0.001329524,0.00009454085,0.00001465374,0.00001383424,0.00006957506],"genre_scores_gemma":[0.9392847,0.00157925,0.0000262911,0.05579448,0.002064931,0.000002427358,0.000005493112,0.00002957821,0.001212801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4807585,"threshold_uncertainty_score":0.9876422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3232116395219609,"score_gpt":0.4088073896024654,"score_spread":0.08559575008050446,"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."}}