{"id":"W4365796612","doi":"10.2196/39249","title":"Barriers to Telemedicine Use: Qualitative Analysis of Provider Perspectives During the COVID-19 Pandemic","year":2023,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Diabetes and Digestive and Kidney Diseases; National Heart, Lung, and Blood Institute; Agency for Healthcare Research and Quality; U.S. Department of Veterans Affairs","keywords":"Pandemic; Coronavirus disease 2019 (COVID-19); Telemedicine; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Virology; Medicine; Political science; Health care; Outbreak; 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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0008614036,0.0002106816,0.000570028,0.001366347,0.0003665821,0.00001664884,0.0001446173,0.00006624961,0.001325358],"category_scores_gemma":[0.002301519,0.0001353082,0.0001806445,0.003109056,0.0002017748,0.0001197855,0.00006140067,0.0002393492,0.00001107718],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003892191,"about_ca_system_score_gemma":0.000260014,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001432986,"about_ca_topic_score_gemma":0.0009449388,"domain_scores_codex":[0.9976523,0.0002284985,0.0006238187,0.0003889012,0.0006892361,0.0004172488],"domain_scores_gemma":[0.9976808,0.0007300278,0.0002426466,0.0004083865,0.0001929427,0.0007452155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00009656361,0.00002267576,0.7366192,0.0001646276,0.0007331838,0.000009526585,0.2535504,0.00002633538,0.003618754,0.0002028922,0.004873785,0.0000820904],"study_design_scores_gemma":[0.0010991,0.0003660527,0.7289085,0.00001857772,0.000500889,0.000002638629,0.2636274,0.00001129155,0.0001523709,0.00003048567,0.005178996,0.0001037942],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9936687,0.00003164958,0.00007259933,0.004372878,0.00005478163,0.001424289,0.0001060256,0.0002133342,0.00005576293],"genre_scores_gemma":[0.9965351,0.00001753625,0.00002547186,0.001734238,0.000113048,0.0001617926,0.0002184924,0.00002654273,0.001167792],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01007698,"threshold_uncertainty_score":0.9995876,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1307283606316042,"score_gpt":0.4864673011064336,"score_spread":0.3557389404748295,"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."}}