{"id":"W4220665504","doi":"10.36834/cmej.73444","title":"COVID as a catalyst: medical student perspectives on professional identity formation during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"Canadian Medical Education Journal","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Identity (music); Medical education; Psychology; Period (music); 2019-20 coronavirus outbreak; Health professionals; Qualitative research; Health care; Medicine; Political science; Sociology; Disease; Virology; Pathology","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","sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00361753,0.0001452013,0.0001646216,0.0004047564,0.002588899,0.00006319566,0.0007964591,0.0001446274,0.2142668],"category_scores_gemma":[0.009199406,0.0001137642,0.00009946312,0.0003840888,0.0001862523,0.0001840696,0.00009395401,0.001963723,0.0002229799],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.01068894,"about_ca_system_score_gemma":0.1442824,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.04055437,"about_ca_topic_score_gemma":0.07314584,"domain_scores_codex":[0.9954334,0.0009952156,0.0005037264,0.0002944233,0.002264834,0.0005084026],"domain_scores_gemma":[0.9875479,0.0002910171,0.0002244604,0.0002686519,0.00009231378,0.01157567],"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":[0.0004968013,0.002459001,0.06406066,0.0002042586,0.0002074333,0.001118292,0.3597945,0.00004647646,0.000009625049,0.0416978,0.4977541,0.03215101],"study_design_scores_gemma":[0.002078357,0.0002524733,0.04962935,0.0000643381,0.00002966341,0.01345839,0.3380536,0.00003441281,6.844463e-7,0.001171559,0.5949851,0.0002420405],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7987941,0.001166001,0.00007613597,0.1906995,0.006771239,0.0005059994,0.00003287952,0.00003252554,0.001921597],"genre_scores_gemma":[0.8304453,0.0001296861,0.000003354138,0.1654655,0.0009675117,0.0002257796,0.00004056793,0.00001410289,0.002708194],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2140438,"threshold_uncertainty_score":0.9991465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04543703103981963,"score_gpt":0.4790032730778641,"score_spread":0.4335662420380445,"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."}}