{"id":"W4388035512","doi":"10.1007/s10903-023-01561-7","title":"Impact of Language Barriers on Outcomes and Experience of COVID-19 Patients Hospitalized in Quebec, Canada, During the First Wave of the Pandemic","year":2023,"lang":"en","type":"article","venue":"Journal of Immigrant and Minority Health","topic":"Interpreting and Communication in Healthcare","field":"Health Professions","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier de l’Université de Montréal; McGill University; McGill University Health Centre; Hôpital Maisonneuve-Rosemont; Université de Montréal; Jewish General Hospital","funders":"Gilead Sciences","keywords":"Medicine; Immigration; Ethnic group; Pandemic; Public health; Health care; Family medicine; Demography; Coronavirus disease 2019 (COVID-19); Disease; Infectious disease (medical specialty); Nursing; Geography","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":[0.0009788773,0.0003345394,0.0004469693,0.0006800072,0.004924573,0.00283774,0.001302938,0.0009379967,0.005437782],"category_scores_gemma":[0.00792635,0.0002857816,0.0006701209,0.001511035,0.001443162,0.0009852673,0.002095235,0.002295783,0.0003672202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02573899,"about_ca_system_score_gemma":0.04136458,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9599345,"about_ca_topic_score_gemma":0.9757451,"domain_scores_codex":[0.9978659,0.0002914077,0.0001444566,0.0001241154,0.0002792534,0.001294884],"domain_scores_gemma":[0.9928169,0.000661677,0.001812268,0.00009665496,0.00189916,0.002713284],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002109605,0.0001614342,0.9812908,0.00004915466,0.00006056069,0.0003482162,0.01078837,0.0001321693,0.0001183464,0.0001993899,0.002414098,0.004226544],"study_design_scores_gemma":[0.00001496743,0.0001198788,0.948781,0.0001783377,0.00002782908,0.0001271846,0.04915247,0.0002069263,0.00004189346,0.0000588014,0.001242742,0.0000478489],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9940603,0.000279689,0.00002479949,0.001458116,0.00003326682,0.0000346423,0.0009935014,0.000004084338,0.003111505],"genre_scores_gemma":[0.9983329,0.0001794259,0.00004263645,0.0004509962,0.00001176294,0.00001829286,0.0003592779,0.000004384879,0.0006003366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04006553,"threshold_uncertainty_score":0.1867504,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02814900555456099,"score_gpt":0.3923171298174756,"score_spread":0.3641681242629146,"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."}}