{"id":"W4392479212","doi":"10.2196/51279","title":"Telehealth Utilization and Associations in the United States During the Third Year of the COVID-19 Pandemic: Population-Based Survey Study in 2022","year":2024,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases","keywords":"Coronavirus disease 2019 (COVID-19); Pandemic; Telehealth; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Population; Medicine; Environmental health; Health care; Virology; Telemedicine; Political science; Outbreak; Disease; 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":[0.0009807359,0.0002310242,0.0002787226,0.0008277352,0.0004901993,0.0007566084,0.0004607062,0.0007058205,0.001086819],"category_scores_gemma":[0.001722632,0.0002906166,0.0006148243,0.001593164,0.0002154922,0.0008460085,0.0006693929,0.0008488864,0.0003700755],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007142615,"about_ca_system_score_gemma":0.0006982351,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.04354287,"about_ca_topic_score_gemma":0.06156504,"domain_scores_codex":[0.999347,0.0001568358,0.0001149857,0.0001305059,0.0001435147,0.000107147],"domain_scores_gemma":[0.9986934,0.0001322876,0.0006276867,0.00007383493,0.000225788,0.0002470074],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001474842,0.00005695964,0.9984402,0.00001139926,0.00002413763,0.00002545528,0.0002163282,0.00001786996,0.00005207224,0.00000959507,0.0004184155,0.0007128697],"study_design_scores_gemma":[0.000001823617,0.00003441375,0.9988244,0.00001125066,0.000007337222,0.00006293188,0.0007380522,0.00008457853,0.00001646455,0.000005208196,0.0002104942,0.000002959356],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9926145,0.0002804539,0.0001426786,0.0002330273,0.00001549611,0.00007208115,0.005887724,0.000009467415,0.0007445446],"genre_scores_gemma":[0.9958555,0.0002247609,0.000172059,0.000300862,0.0000135549,0.0001252794,0.002966975,0.000003765745,0.0003371291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04354287,"threshold_uncertainty_score":0.08657885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1201978935477256,"score_gpt":0.4221838331446399,"score_spread":0.3019859395969142,"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."}}