{"id":"W3046538865","doi":"10.36834/cmej.70267","title":"Residency redeployment during a pandemic: Lessons for balancing service and learning","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Medical education; Coronavirus disease 2019 (COVID-19); Medical school; Service (business); Residency training; Pandemic; Order (exchange); Medicine; Psychology; Computer science; Internal medicine; Infectious disease (medical specialty); Continuing education; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.007691253,0.0008188971,0.0006900373,0.001004916,0.007327542,0.005541181,0.003193662,0.005109903,0.006985285],"category_scores_gemma":[0.0180273,0.0003980433,0.0008779403,0.0006338614,0.003232314,0.007283552,0.008388513,0.009659755,0.002179903],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004531795,"about_ca_system_score_gemma":0.0225937,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01733394,"about_ca_topic_score_gemma":0.08455659,"domain_scores_codex":[0.9962307,0.001797535,0.0001347956,0.0002083175,0.0005872793,0.001041443],"domain_scores_gemma":[0.9836858,0.003184773,0.0005444583,0.0004624784,0.001739587,0.01038285],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0001829715,0.001249827,0.008081034,0.001356293,0.00004997341,0.002370353,0.01913809,0.0009657292,0.000908034,0.007333832,0.3888858,0.569478],"study_design_scores_gemma":[0.0003105274,0.001453613,0.04237598,0.007907183,0.00009167608,0.00394077,0.1880582,0.001530228,0.001458564,0.05120086,0.7013375,0.0003349252],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.04689627,0.01897793,0.0116328,0.8720976,0.01193944,0.0005964344,0.0001604565,0.0007327492,0.03696632],"genre_scores_gemma":[0.5543819,0.0667071,0.1433708,0.1871984,0.01265956,0.002249661,0.0004960065,0.00058922,0.03234726],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01733394,"threshold_uncertainty_score":0.0406757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06413270512136736,"score_gpt":0.3967482882028932,"score_spread":0.3326155830815258,"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."}}