{"id":"W4362591727","doi":"10.2196/41562","title":"Telehealth Challenges for California Rural Hospitals in Reaching Latino Populations During COVID-19","year":2023,"lang":"en","type":"article","venue":"Iproceedings","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telehealth; Health care; Telemedicine; Rural area; Business; Pandemic; Rural health; Health equity; Public health; Medicine; Digital health; Nursing; Public relations; Political science; Coronavirus disease 2019 (COVID-19)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001910117,0.000211489,0.0001715328,0.0005231819,0.00431018,0.003163889,0.001028408,0.001146891,0.006936605],"category_scores_gemma":[0.005014836,0.0002632639,0.0002633224,0.0007635633,0.001481758,0.001443579,0.002754971,0.001424999,0.0003411557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003706726,"about_ca_system_score_gemma":0.009186308,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.09332395,"about_ca_topic_score_gemma":0.2059439,"domain_scores_codex":[0.9987832,0.0004288089,0.00007463637,0.000117895,0.0001574708,0.0004380143],"domain_scores_gemma":[0.9964322,0.0009468717,0.0006344973,0.00009821539,0.0005708617,0.001317345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000475809,0.001447942,0.4188748,0.002061596,0.0001298576,0.007708287,0.2876429,0.0008671968,0.004486188,0.005754987,0.07256709,0.1979834],"study_design_scores_gemma":[0.00006447851,0.0005872865,0.1760993,0.001153366,0.00005033645,0.001647544,0.7334803,0.0003537975,0.0003232047,0.0006836763,0.08549996,0.00005663281],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9478246,0.001754346,0.0004408131,0.03110171,0.0002241081,0.0002047797,0.0004200388,0.00003828677,0.01799132],"genre_scores_gemma":[0.9832128,0.002433354,0.001048391,0.008589684,0.0001889958,0.0002486526,0.0002913726,0.00002254629,0.003964188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09332395,"threshold_uncertainty_score":0.1855615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1093042342252112,"score_gpt":0.4067693287868095,"score_spread":0.2974650945615983,"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."}}