{"id":"W4285049123","doi":"10.1177/23743735221112707","title":"Immigrant Healthcare Experiences and Impacts During COVID-19: A Cross-Sectional Study in Alberta, Canada","year":2022,"lang":"en","type":"article","venue":"Journal of Patient Experience","topic":"COVID-19 and healthcare impacts","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Pandemic; Health care; Logistic regression; Coronavirus disease 2019 (COVID-19); Medicine; Anxiety; Demographics; Immigration; Cross-sectional study; Demography; Family medicine; Depression (economics); Mental health; Geography; Disease; Psychiatry; Political science; Sociology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004235887,0.0001684594,0.0003898625,0.000281404,0.0005719043,0.0000392066,0.0001554431,0.000034582,0.0002285883],"category_scores_gemma":[0.001060322,0.0001436459,0.00006306146,0.0004207079,0.00008431722,0.0002200121,0.0001244645,0.0005057346,2.178853e-7],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002380992,"about_ca_system_score_gemma":0.005710929,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.8063496,"about_ca_topic_score_gemma":0.5900419,"domain_scores_codex":[0.9969611,0.0001789374,0.0009396686,0.0002827941,0.001219837,0.0004176737],"domain_scores_gemma":[0.997963,0.000222869,0.0004738283,0.0001815646,0.000150534,0.001008167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009585503,0.0002530428,0.8015078,0.00007549556,0.00001073572,0.0009591766,0.1957883,0.0001731969,0.0001368836,0.000006200158,0.00003633436,0.00009427886],"study_design_scores_gemma":[0.00198208,0.00265324,0.8186341,0.00003649799,0.000004487357,0.001443241,0.1740796,0.00002920649,0.0001342382,0.000006825422,0.0008783307,0.0001182041],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9952495,0.0005723488,0.000002528039,0.0030351,0.0006292183,0.0004902061,0.000008209664,0.000005879055,0.000007053568],"genre_scores_gemma":[0.9963497,0.00003217835,0.00001788348,0.00338802,0.00008219857,0.0000881489,0.000001473337,0.00001177968,0.00002862286],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2163077,"threshold_uncertainty_score":0.9999258,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04038918702595048,"score_gpt":0.3892467160519097,"score_spread":0.3488575290259592,"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."}}