{"id":"W3171657343","doi":"10.2196/29429","title":"Implementation of Telehealth Services at the US Department of Veterans Affairs During the COVID-19 Pandemic: Mixed Methods Study","year":2021,"lang":"en","type":"article","venue":"JMIR Formative Research","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"U.S. Department of Veterans Affairs","keywords":"Telehealth; Veterans Affairs; Medicine; Telemedicine; Pandemic; Videoconferencing; Coronavirus disease 2019 (COVID-19); Outpatient clinic; Medical emergency; The Internet; Family medicine; Telephone interview; Health care; Multimedia; Internal medicine; World Wide Web; Political science; Computer science; Infectious disease (medical specialty)","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":[0.005544024,0.0001379372,0.0003612098,0.0001947633,0.0005362551,0.00001456295,0.0001932789,0.00004179342,0.0004564411],"category_scores_gemma":[0.000110458,0.00007735055,0.00008371649,0.0008516121,0.0001831895,0.0001344532,0.0002674712,0.0003640032,0.000006068914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005456776,"about_ca_system_score_gemma":0.0006581975,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002069875,"about_ca_topic_score_gemma":0.007658443,"domain_scores_codex":[0.9947733,0.002470906,0.0008661821,0.0002314114,0.001167713,0.0004904396],"domain_scores_gemma":[0.9971603,0.001249012,0.0003469547,0.00047955,0.0005589538,0.0002052876],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009456262,0.0007706136,0.722525,0.004338569,0.0004675155,0.00002647196,0.1839067,0.00001073996,0.01573985,0.0001107255,0.002577477,0.06858075],"study_design_scores_gemma":[0.00392825,0.001568204,0.6629012,0.00003741607,0.00005046443,0.00007356125,0.2993536,0.00002399097,0.02544775,0.00004568998,0.006514126,0.00005576133],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923416,0.0003038529,0.0002309822,0.003864482,0.00007648185,0.002874141,0.00009105171,0.0000194331,0.0001979905],"genre_scores_gemma":[0.9982173,0.0002350071,0.0002840526,0.0003937466,0.00006015396,0.0005721098,0.0001543606,0.00001493716,0.00006828766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1154469,"threshold_uncertainty_score":0.4997711,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1303122303778523,"score_gpt":0.5616985701522275,"score_spread":0.4313863397743752,"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."}}