{"id":"W3038089529","doi":"10.1017/cem.2020.435","title":"Resident learning during a pandemic: Recommendations for training programs","year":2020,"lang":"en","type":"article","venue":"Canadian Journal of Emergency Medicine","topic":"Innovations in Medical Education","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; University of Ottawa","funders":"Queen's University; University of Ottawa","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Medical education; Medicine; Training (meteorology); Variety (cybernetics); Emergency department; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Nursing; Disease; Infectious disease (medical specialty)","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":[0.007787633,0.000858072,0.0009037727,0.002447465,0.002188066,0.002539996,0.003576333,0.003281308,0.01168428],"category_scores_gemma":[0.02165508,0.0004286904,0.001144426,0.002552773,0.0006649893,0.002248919,0.002415281,0.002549549,0.002204929],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.012892,"about_ca_system_score_gemma":0.08578986,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.177135,"about_ca_topic_score_gemma":0.5029228,"domain_scores_codex":[0.9960473,0.001038992,0.0003817786,0.0001892698,0.001575114,0.0007676429],"domain_scores_gemma":[0.980655,0.002685268,0.001404484,0.0002422852,0.008012795,0.007000234],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000110621,0.0005170953,0.006376947,0.0147044,0.00008496828,0.0004075138,0.001466667,0.0006258695,0.0003580141,0.001905757,0.286338,0.6871041],"study_design_scores_gemma":[0.0004701994,0.0005542321,0.05805865,0.07646485,0.0004925636,0.0004400527,0.007561211,0.0007902539,0.000625725,0.002631406,0.8517481,0.0001627383],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.01905128,0.3798467,0.007520312,0.5042995,0.00871904,0.005439423,0.003701431,0.001507603,0.06991474],"genre_scores_gemma":[0.1042167,0.6725255,0.1161902,0.06075605,0.002066047,0.007983702,0.004512874,0.0001784798,0.03157042],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.177135,"threshold_uncertainty_score":0.3522079,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2861121827463228,"score_gpt":0.4249353967360366,"score_spread":0.1388232139897139,"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."}}