{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0009830513,0.0003413213,0.0003870204,0.001093257,0.00408441,0.00162368,0.001193863,0.0004785818,0.001859886],"category_scores_gemma":[0.001551552,0.0004400839,0.0004716601,0.002618733,0.001024685,0.0004913323,0.001408747,0.000888008,0.0002270384],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.02051522,"about_ca_system_score_gemma":0.0208404,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9857668,"about_ca_topic_score_gemma":0.9936186,"domain_scores_codex":[0.9992393,0.00006863945,0.00004640153,0.00008691299,0.0002683862,0.0002903398],"domain_scores_gemma":[0.9987555,0.0000894031,0.0002369476,0.00003653997,0.0003857799,0.0004959363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0000487009,0.00008690266,0.991838,0.00003219028,0.00002614168,0.000138249,0.004973986,0.00003373767,0.0001220393,0.00005619961,0.0004777017,0.002166219],"study_design_scores_gemma":[0.000003464771,0.00004558077,0.985238,0.00004398934,0.00001180469,0.00005888844,0.01407527,0.00007375137,0.00002681298,0.00001111834,0.0004018206,0.000009534042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981751,0.0001838805,0.00002912616,0.0001028402,0.000005446288,0.00003398653,0.0005785603,0.000002515682,0.0008884787],"genre_scores_gemma":[0.9980913,0.0003445269,0.0001175456,0.0001667832,0.000003983655,0.00002539353,0.0005928887,0.00000242018,0.0006552848],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02051522,"threshold_uncertainty_score":0.148849,"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."}}