{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001023785,0.00006512005,0.0001315146,0.0003329139,0.00008989598,0.00003211776,0.0000688672,0.00001240394,0.00001696356],"category_scores_gemma":[0.00008349706,0.00004044816,0.00001069536,0.0001092501,0.00003708717,0.00009976343,0.00004166659,0.0001266976,0.000001248612],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000944491,"about_ca_system_score_gemma":0.0001127959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008157809,"about_ca_topic_score_gemma":0.0001529597,"domain_scores_codex":[0.9988133,0.00002324519,0.0004385564,0.00007473843,0.0005619797,0.00008813036],"domain_scores_gemma":[0.9994264,0.00007769161,0.0001525769,0.00002835264,0.0002707176,0.00004422939],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009879708,0.0001236922,0.9617795,0.00003823973,0.0001707915,0.0001115438,0.01275634,0.000006411208,0.000362517,0.0008145015,0.005127265,0.01861043],"study_design_scores_gemma":[0.002634233,0.0002102052,0.9895206,0.0001561788,0.00001812587,0.0002087239,0.003666807,0.00002856824,0.0001131229,0.0004766061,0.002925828,0.0000409629],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883952,0.00006598876,0.00001286188,0.01109994,0.000110971,0.0001536682,5.516129e-7,0.00001039989,0.0001504122],"genre_scores_gemma":[0.9985535,0.00008795812,0.0001291945,0.000656612,0.0002734276,0.000008625831,0.00001837505,0.000004637772,0.0002676634],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02774117,"threshold_uncertainty_score":0.1649428,"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."}}