{"id":"W4234276681","doi":"10.21203/rs.3.rs-50193/v1","title":"Repercussions of The COVID-19 Pandemic on the Well-Being and Training of Medical Clerks: A Pan-Canadian Survey","year":2020,"lang":"en","type":"preprint","venue":"Research Square","topic":"Healthcare professionals’ stress and burnout","field":"Health Professions","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal; Dalhousie University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Training (meteorology); Virology; Medicine; Geography; Infectious disease (medical specialty); Outbreak; Pathology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001531158,0.000410967,0.0004283999,0.001900812,0.004116885,0.001962157,0.001602892,0.001432239,0.003989314],"category_scores_gemma":[0.004464404,0.00054752,0.000910304,0.004036433,0.001401262,0.000848307,0.002517854,0.002383796,0.0003831504],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02698361,"about_ca_system_score_gemma":0.0598504,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9950867,"about_ca_topic_score_gemma":0.9970424,"domain_scores_codex":[0.9974141,0.0002118244,0.0001220133,0.0002003227,0.0006273814,0.001424238],"domain_scores_gemma":[0.9948121,0.0002026451,0.0008747139,0.0001067219,0.00171451,0.002289301],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001043797,0.0001446168,0.9776195,0.0001185734,0.00007504823,0.0001639204,0.01045797,0.00008620395,0.0002189403,0.0003280125,0.005398042,0.005284842],"study_design_scores_gemma":[0.000002657401,0.00001598705,0.9896857,0.00004497693,0.000007328626,0.00001650042,0.008869479,0.00003277785,0.00001230954,0.00001086676,0.00128793,0.00001334706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9834124,0.001048819,0.00005670196,0.002977138,0.00007984432,0.00009490958,0.007118348,0.000007258924,0.005204682],"genre_scores_gemma":[0.99382,0.001416981,0.0001065575,0.0007460252,0.0000269148,0.00004494602,0.001993697,0.000007428966,0.001837414],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02698361,"threshold_uncertainty_score":0.1957807,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4414640660565543,"score_gpt":0.5637938764754482,"score_spread":0.1223298104188939,"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."}}