{"id":"W3025867816","doi":"10.36834/cmej.70317","title":"The new normal: Medical education during and beyond the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":56,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Betacoronavirus; Coronavirus Infections; New normal; Virology; Computer science; Medicine; Outbreak; Pathology; Infectious disease (medical specialty)","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001310211,0.0001398978,0.0001848325,0.0001281869,0.001041182,0.0001283997,0.0003231717,0.0002302581,0.009835572],"category_scores_gemma":[0.07508308,0.00008437778,0.0000644044,0.0003199887,0.0002547565,0.0001032523,0.0000291725,0.001493027,0.00003818909],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008715177,"about_ca_system_score_gemma":0.3846266,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01727838,"about_ca_topic_score_gemma":0.05976131,"domain_scores_codex":[0.9976497,0.0001764778,0.0004515674,0.0001985243,0.001048986,0.0004747271],"domain_scores_gemma":[0.9577568,0.000394791,0.0001472981,0.0002332629,0.0002149726,0.04125289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005865311,0.00003304082,0.02136121,0.00009589121,0.00002989058,0.00005101859,0.004573994,4.665682e-7,0.00000577302,0.0007681365,0.7619907,0.2110312],"study_design_scores_gemma":[0.0008006367,0.00008007136,0.03176179,0.0001011413,0.00004330455,0.006721763,0.003026898,0.00009262211,0.000001674794,0.0005392222,0.9567305,0.0001004164],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.06980488,0.00488614,0.00006818229,0.9226589,0.001359125,0.0002569371,0.000001921039,0.00002251131,0.0009413646],"genre_scores_gemma":[0.3558061,0.002572856,0.00003364676,0.6360154,0.004704911,0.00001065694,0.000009236684,0.00001666616,0.0008305481],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.3837551,"threshold_uncertainty_score":0.9910696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04317346271505457,"score_gpt":0.3900537465840936,"score_spread":0.3468802838690391,"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."}}