{"id":"W4317879904","doi":"10.2196/39429","title":"Can Hybrid In-Person and Virtual Care Delivery Models Increase Telehealth Access to Vulnerable Populations in the Post–COVID-19 Era?","year":2023,"lang":"en","type":"article","venue":"Iproceedings","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Loneliness; Social distance; Telemedicine; Medicine; Likert scale; Social isolation; Demographics; UCLA Loneliness Scale; Scale (ratio); Health care; Pandemic; Family medicine; Gerontology; Coronavirus disease 2019 (COVID-19); Psychology; Demography; Psychiatry; Geography; Disease; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.0007628942,0.0001652885,0.0002637779,0.0007250686,0.0002835519,0.00005969073,0.0001528163,0.00004990615,0.00002593277],"category_scores_gemma":[0.0005540067,0.0001336358,0.00002589544,0.001161847,0.0000293409,0.0003531045,0.0000594073,0.0003742832,0.000006662295],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003424305,"about_ca_system_score_gemma":0.0004550364,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03831235,"about_ca_topic_score_gemma":0.006947248,"domain_scores_codex":[0.9983559,0.00004740344,0.0003719671,0.0003642864,0.0003812239,0.000479262],"domain_scores_gemma":[0.9990922,0.0001475146,0.00007830966,0.0001325511,0.0001378694,0.000411505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006540994,0.0001306749,0.7746034,0.001278709,0.0000187044,0.0003018185,0.1273531,0.0008488,0.0008033427,0.002664458,0.04618727,0.04515564],"study_design_scores_gemma":[0.005720573,0.001357908,0.8400153,0.0002795913,0.00007679254,0.000208991,0.1411106,0.005307653,0.0001614512,0.001323479,0.004059305,0.0003783471],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9498763,0.0001093678,0.00002760492,0.04822274,0.00007519122,0.001173575,0.00005197441,0.00009522296,0.0003680322],"genre_scores_gemma":[0.9648879,0.00008468948,0.000150278,0.03419902,0.0001647916,0.0001871397,0.0002592141,0.00002345433,0.00004350681],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06541192,"threshold_uncertainty_score":0.9680916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1052859412062611,"score_gpt":0.3943652492571914,"score_spread":0.2890793080509303,"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."}}