{"id":"W4389953780","doi":"10.1177/00914150231219259","title":"Acculturation and Disparities in Telemedicine Readiness: A National Study","year":2023,"lang":"en","type":"article","venue":"The International Journal of Aging and Human Development","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"University of Alberta; Rice University","keywords":"Telemedicine; Acculturation; Ethnic group; Immigration; Pandemic; Medicine; Gerontology; Pacific islanders; Population; Health care; Coronavirus disease 2019 (COVID-19); Family medicine; Disease; Environmental health; Geography; Political science; Infectious disease (medical specialty); Pathology","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001136012,0.0001433666,0.0001943187,0.0005696931,0.0006090019,0.0005938822,0.0003205359,0.0003838613,0.001598527],"category_scores_gemma":[0.002649697,0.0001818459,0.0004150797,0.0008478651,0.0002349825,0.0007286713,0.000681616,0.0006056444,0.0001517269],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004159142,"about_ca_system_score_gemma":0.0006372745,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02079355,"about_ca_topic_score_gemma":0.03694323,"domain_scores_codex":[0.9995715,0.0001326268,0.00005433212,0.00006261006,0.00007584782,0.0001030707],"domain_scores_gemma":[0.998592,0.0002624899,0.0006065016,0.00008310265,0.0001717572,0.0002840936],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00002512104,0.0001138434,0.9974662,0.00001051247,0.00002601361,0.00002575,0.0006721233,0.000009019483,0.00004060364,0.00003353958,0.00008651551,0.001490607],"study_design_scores_gemma":[0.000003303837,0.00005033114,0.9983461,0.00001789864,0.00001711844,0.00004267606,0.001230356,0.00008257144,0.00001798318,0.00001730798,0.0001720329,0.000002272039],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992105,0.0001035576,0.00003112376,0.00008970762,0.000003725899,0.00001155014,0.000117448,7.330966e-7,0.0004317004],"genre_scores_gemma":[0.99964,0.00007709074,0.0000410213,0.00006125098,0.000004546067,0.00001010748,0.00007525641,7.232894e-7,0.00009000255],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02079355,"threshold_uncertainty_score":0.04134506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06370027751995629,"score_gpt":0.393996613414033,"score_spread":0.3302963358940768,"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."}}