{"id":"W3044424351","doi":"10.1017/cem.2020.454","title":"New challenges and mitigation strategies for resident selection during the coronavirus disease pandemic","year":2020,"lang":"en","type":"letter","venue":"Canadian Journal of Emergency Medicine","topic":"Global Health Workforce Issues","field":"Health Professions","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pandemic; Medicine; Coronavirus disease 2019 (COVID-19); Selection (genetic algorithm); 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Coronavirus; Virology; Disease; Infectious disease (medical specialty); Outbreak; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005016021,0.0002728805,0.0005112541,0.0002078745,0.0008542034,0.000005749635,0.0002838666,0.0003473787,0.001816715],"category_scores_gemma":[0.0006661685,0.0001891432,0.00009308161,0.0001592596,0.00008952921,0.0001493073,0.00001386422,0.002166514,0.00000828933],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005266279,"about_ca_system_score_gemma":0.00547977,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.01439823,"about_ca_topic_score_gemma":0.1137215,"domain_scores_codex":[0.9971263,0.0003919095,0.001204752,0.0002462414,0.0003676904,0.0006631339],"domain_scores_gemma":[0.9967919,0.0003116165,0.0009910867,0.0001721694,0.0004830531,0.001250174],"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":[0.00007389466,6.715045e-7,0.004122742,0.001627039,0.00005832245,0.00008192968,0.006151378,0.000005477946,0.000007755169,0.0002179214,0.9867021,0.0009507878],"study_design_scores_gemma":[0.0006565221,0.0002606379,0.01996037,0.002783651,0.000239685,0.00001086944,0.007433063,0.00001103337,2.517845e-7,0.008980274,0.9595004,0.0001632284],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.00649415,0.08965491,0.00008675198,0.8925067,0.009505136,0.001056697,0.0000453591,0.00001939248,0.0006308935],"genre_scores_gemma":[0.1090416,0.183337,0.0002567773,0.4750169,0.1970988,0.0002687369,0.0003016202,0.0003700109,0.03430853],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.4174898,"threshold_uncertainty_score":0.9990957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2401121789615301,"score_gpt":0.46155043273748,"score_spread":0.2214382537759499,"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."}}