{"id":"W4320914223","doi":"10.2196/41285","title":"Challenges and Opportunities of the Use and Adoption of Telemedicine for Diabetes Care and Management During the COVID-19 Pandemic and Beyond","year":2023,"lang":"en","type":"article","venue":"Iproceedings","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Thematic analysis; Pandemic; Medicine; Diabetes management; Health care; Context (archaeology); Qualitative research; Exploratory research; Population; Nursing; Medical emergency; Coronavirus disease 2019 (COVID-19); Diabetes mellitus; Sociology; Political science; Pathology; Disease; Environmental health","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":[0.01033132,0.0003613177,0.0003207034,0.0008263856,0.005953106,0.005960704,0.001677361,0.002524315,0.001790002],"category_scores_gemma":[0.01447122,0.0003721819,0.0004322413,0.001214528,0.005007729,0.004213399,0.005585831,0.002769784,0.0001946089],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.007228287,"about_ca_system_score_gemma":0.01178311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.03495151,"about_ca_topic_score_gemma":0.03907158,"domain_scores_codex":[0.9875919,0.007184109,0.0006693896,0.0006716718,0.001167082,0.002715797],"domain_scores_gemma":[0.9811499,0.0106986,0.002985673,0.0004968997,0.001982365,0.002686515],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002853707,0.0004553105,0.1512243,0.001562464,0.00007536135,0.007566808,0.6798976,0.001166219,0.005295549,0.01673358,0.005739807,0.1299977],"study_design_scores_gemma":[0.00001395992,0.0002076791,0.08549351,0.001327719,0.00004187164,0.001521389,0.8738327,0.001551041,0.0007898851,0.003259362,0.03185873,0.0001020942],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"review","genre_scores_codex":[0.946916,0.001975355,0.001124944,0.03732279,0.000107485,0.00009444897,0.00007967233,0.00002051892,0.01235866],"genre_scores_gemma":[0.9963605,0.001017963,0.0006947538,0.001403192,0.00003669129,0.00004367845,0.00002139688,0.000004720112,0.0004170799],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.03495151,"threshold_uncertainty_score":0.06949615,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.178545308037552,"score_gpt":0.3505139744286817,"score_spread":0.1719686663911297,"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."}}