{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007258182,0.0001602035,0.0003208054,0.0005002652,0.0003180374,0.00001561881,0.00006879908,0.00008865184,0.00003302994],"category_scores_gemma":[0.0009903118,0.0001521388,0.00005946908,0.0005155557,0.000025634,0.0001570853,0.00003174163,0.0001991241,0.00002995526],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003333204,"about_ca_system_score_gemma":0.0001602924,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005990274,"about_ca_topic_score_gemma":0.0001727387,"domain_scores_codex":[0.9983023,0.00001187067,0.0005512597,0.0002911511,0.0002775331,0.0005658988],"domain_scores_gemma":[0.9991654,0.0001131682,0.0001653998,0.000110869,0.00008444117,0.0003607222],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002698519,0.00007782459,0.9388891,0.003807057,0.00002668266,0.00002779363,0.01404382,0.00001286867,0.002278853,0.003734485,0.007457438,0.02937424],"study_design_scores_gemma":[0.004269262,0.000387081,0.9685558,0.0001981568,0.00003914296,0.00005300002,0.01116305,0.0004575969,0.0002051997,0.002752568,0.01172862,0.0001904983],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9577613,0.0001812927,0.00007405637,0.03987731,0.0001463692,0.001200122,0.00004231506,0.0003721927,0.0003449931],"genre_scores_gemma":[0.9957581,0.0003737919,0.001105387,0.001621041,0.000455149,0.0002739035,0.0002423365,0.00004080405,0.000129509],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03825627,"threshold_uncertainty_score":0.6204039,"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."}}