{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01307477,0.0004382298,0.0006373407,0.00252649,0.001983494,0.002741974,0.001433778,0.001067655,0.00183966],"category_scores_gemma":[0.02269909,0.0007106406,0.001066141,0.003232495,0.001038309,0.00221679,0.002123044,0.0008972543,0.0002021262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003546092,"about_ca_system_score_gemma":0.003196227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02147731,"about_ca_topic_score_gemma":0.03338877,"domain_scores_codex":[0.986857,0.009384366,0.0009891629,0.0007297168,0.0009737791,0.001066128],"domain_scores_gemma":[0.9816057,0.01084478,0.003916519,0.000799696,0.001890584,0.0009426496],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0007347043,0.002432295,0.821825,0.0008860467,0.0004533411,0.0005732495,0.1415716,0.000193853,0.0007097845,0.0005404382,0.0006834868,0.02939627],"study_design_scores_gemma":[0.0001148313,0.00324946,0.6532447,0.0008797889,0.0002103036,0.0005278829,0.3375073,0.001261237,0.0006111444,0.0002369759,0.002073116,0.00008327967],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982088,0.0002851012,0.0003527985,0.0001110843,0.000006990647,0.0003524613,0.0002710448,0.000003059807,0.0004085982],"genre_scores_gemma":[0.9961407,0.0004495602,0.001214835,0.000221457,0.00001660746,0.001353062,0.0002551489,0.000005385953,0.0003433215],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02147731,"threshold_uncertainty_score":0.06914681,"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."}}