{"id":"W4285007925","doi":"10.20944/preprints202207.0151.v1","title":"Psychological Distress in South African Healthcare Workers early in the COVID-19 Pandemic: An Analysis of Associations and Mitigating Factors","year":2022,"lang":"en","type":"preprint","venue":"Preprints.org","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Psychological resilience; Mental health; Pandemic; Psychological intervention; Health care; Psychological distress; Distress; Psychology; Affect (linguistics); Coronavirus disease 2019 (COVID-19); Medicine; Clinical psychology; Psychiatry; Social psychology; Disease; Political science","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.002901533,0.00032651,0.0008331758,0.0006769883,0.0002038451,0.00002159485,0.0008312135,0.0004158163,0.0008343786],"category_scores_gemma":[0.0005566881,0.0002860185,0.0002522616,0.001299933,0.0001888743,0.00004740816,0.0007571994,0.001889493,0.000006028639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001339894,"about_ca_system_score_gemma":0.0002635316,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.07882374,"about_ca_topic_score_gemma":0.0181553,"domain_scores_codex":[0.9940935,0.002590486,0.001006538,0.001303091,0.0004624725,0.0005438587],"domain_scores_gemma":[0.9965601,0.001093807,0.000770874,0.001227192,0.00003589854,0.00031215],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009370276,0.0004039377,0.8623129,0.0000913624,0.0001810904,0.00001535949,0.1356567,0.0005946838,0.000007620182,0.0002339453,0.000002258667,0.0004065224],"study_design_scores_gemma":[0.0004865764,0.00006517564,0.9471045,0.00002630726,0.0001539777,0.000001175758,0.05130534,0.00003699393,9.169385e-7,0.0004800683,0.0001133005,0.0002256256],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9954582,0.000176173,0.00002223981,0.001243815,0.0002563768,0.001027935,0.001135646,0.00006638439,0.0006132289],"genre_scores_gemma":[0.9977457,0.00004584805,0.00001984175,0.001009524,0.0000315267,0.0004353034,0.000625081,0.00002270343,0.0000644643],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0847917,"threshold_uncertainty_score":0.9999592,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.3852589229975259,"score_gpt":0.5151706328993761,"score_spread":0.1299117099018502,"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."}}