{"id":"W3132170257","doi":"10.1007/s12630-021-01949-9","title":"The COVID-19 match: what Canadian anesthesia programs can do for the virtual match cycles","year":2021,"lang":"en","type":"letter","venue":"Canadian Journal of Anesthesia/Journal canadien d anesthésie","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University Health Centre; McGill University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Medicine; Computer science; Virology; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.008583079,0.0008148794,0.0008648155,0.001093683,0.02266186,0.01148032,0.003578474,0.07175989,0.02634628],"category_scores_gemma":[0.0421917,0.0008343771,0.001448618,0.001158252,0.01004805,0.007309993,0.005958512,0.05587667,0.005249408],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.04211733,"about_ca_system_score_gemma":0.131156,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6619049,"about_ca_topic_score_gemma":0.8591001,"domain_scores_codex":[0.9878463,0.001605969,0.0005860578,0.0007309044,0.004702562,0.004528209],"domain_scores_gemma":[0.9666267,0.006723406,0.001042141,0.0006031295,0.007299243,0.01770533],"domain_codex":null,"domain_gemma":"incentives","domain_candidate":"incentives","domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001708134,0.00002999115,0.0007119615,0.00001857918,0.000006684462,0.0005098958,0.0003408013,0.00004959615,0.00005391082,0.005996724,0.9852309,0.007033835],"study_design_scores_gemma":[0.0000497761,0.00003111002,0.002112211,0.000288308,0.00001685014,0.000420386,0.003851022,0.0002342393,0.00006649532,0.01011622,0.9827073,0.0001061669],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.000302356,0.0004732127,0.00005189198,0.9888836,0.004367523,0.000008578561,0.00002176473,0.00001290442,0.00587833],"genre_scores_gemma":[0.006982983,0.0008155105,0.0003201179,0.9729206,0.004659428,0.00002721007,0.00003033518,0.00003004485,0.01421381],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.9914169,"threshold_uncertainty_score":0.6801724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05078575347692516,"score_gpt":0.3012778349271897,"score_spread":0.2504920814502646,"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."}}