{"id":"W4367602730","doi":"10.18332/popmed/165514","title":"Understanding the impacts of COVID-19 on the mental health and intention to leave among the Canadian public health workforce","year":2023,"lang":"en","type":"article","venue":"Population Medicine","topic":"Employment and Welfare Studies","field":"Health Professions","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Workforce; Mental health; 2019-20 coronavirus outbreak; Public health; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Psychology; Sick leave; Pandemic; Environmental health; Medicine; Business; Political science; Nursing; Psychiatry; Virology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008508431,0.0006886691,0.001057162,0.004648787,0.004809248,0.007019605,0.002732979,0.001612399,0.009005662],"category_scores_gemma":[0.04427668,0.0004234397,0.002476315,0.004998249,0.003200114,0.003254973,0.005302144,0.002888257,0.0003868902],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.07349037,"about_ca_system_score_gemma":0.2007067,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9841706,"about_ca_topic_score_gemma":0.9894826,"domain_scores_codex":[0.9918764,0.001640073,0.000310462,0.0005347534,0.002447058,0.003191172],"domain_scores_gemma":[0.9749101,0.009423625,0.004105098,0.0004561424,0.006031565,0.005073428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004613372,0.000479653,0.7615367,0.006744267,0.001770652,0.0004459773,0.02569671,0.001048455,0.0002534851,0.02263112,0.02182999,0.1571018],"study_design_scores_gemma":[0.00004502304,0.0001224115,0.9363763,0.006817367,0.0009690592,0.00006475704,0.03399852,0.0007678331,0.0001399226,0.00344696,0.01714159,0.0001102],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6797488,0.1052784,0.001085514,0.1331845,0.001383902,0.0004676491,0.008590109,0.00008497402,0.07017612],"genre_scores_gemma":[0.9678006,0.0215475,0.0006820215,0.005423781,0.0002357073,0.0001569299,0.0009977306,0.00002412467,0.003131646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.07349037,"threshold_uncertainty_score":0.5332124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.4209018986016297,"score_gpt":0.4865162817729567,"score_spread":0.06561438317132706,"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."}}