{"id":"W3084173852","doi":"10.1177/2516043520946650","title":"Occupational risk prevention, education and support in black, Asian and ethnic minority health worker in the COVID-19 pandemic","year":2020,"lang":"en","type":"article","venue":"Journal of Patient Safety and Risk Management","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"","keywords":"Ethnic group; Government (linguistics); Pandemic; Health care; Disease; Medicine; Personal protective equipment; Coronavirus disease 2019 (COVID-19); Business; Political science; Law; Pathology","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":[],"consensus_categories":[],"category_scores_codex":[0.001666156,0.0001072648,0.0002578698,0.0001917004,0.0001119179,0.00001486294,0.00004759655,0.00005117571,0.00002193497],"category_scores_gemma":[0.0002538612,0.0000740699,0.00004015947,0.0002460899,0.0000555017,0.000106399,0.0000412883,0.0004153163,8.733196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002300021,"about_ca_system_score_gemma":0.0005750744,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005551555,"about_ca_topic_score_gemma":0.001177992,"domain_scores_codex":[0.9983395,0.0003763887,0.0006472035,0.0001699115,0.0003022126,0.0001647508],"domain_scores_gemma":[0.9988683,0.0001310707,0.0005199884,0.00008963019,0.00004352065,0.0003474191],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008516056,0.0002043642,0.77858,0.0004318258,0.00003365044,0.00001579197,0.01080502,0.00005833563,1.222293e-7,0.0001524319,0.001256481,0.2076104],"study_design_scores_gemma":[0.002219821,0.001053905,0.9603879,0.0001473495,0.00008840452,0.00005072486,0.005037372,0.00009041599,7.575343e-8,0.0008349887,0.03002707,0.00006199651],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496751,0.003617177,0.001009257,0.04440766,0.00009997786,0.0009381054,0.00001525553,0.00000582553,0.0002315747],"genre_scores_gemma":[0.9386066,0.05051468,0.0004472001,0.01028301,0.00009287133,0.000005021122,0.00001318928,0.000004602874,0.00003290427],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2075484,"threshold_uncertainty_score":0.3020483,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07153443848629981,"score_gpt":0.4051838615639061,"score_spread":0.3336494230776063,"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."}}