{"id":"W3202114750","doi":"10.5430/jha.v10n4p32","title":"Telemedicine use in 2020 during the COVID-19 pandemic among community dwelling U.S. Medicare beneficiaries","year":2021,"lang":"en","type":"article","venue":"Journal of Hospital Administration","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Telemedicine; Pandemic; Medicine; Reimbursement; Metropolitan area; Coronavirus disease 2019 (COVID-19); Health care; Telehealth; Medical emergency; Family medicine; Disease","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":[0.0005213028,0.000166373,0.0001280292,0.0008104012,0.000427566,0.0004559311,0.0002524258,0.0004647326,0.001584868],"category_scores_gemma":[0.001574581,0.0001023271,0.0003150363,0.0006081582,0.0001652232,0.0005836586,0.0006361315,0.0004340227,0.0001849935],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006178169,"about_ca_system_score_gemma":0.0005195878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01853232,"about_ca_topic_score_gemma":0.03701327,"domain_scores_codex":[0.9996787,0.00007595078,0.00004134349,0.00005301613,0.00007046252,0.00008058508],"domain_scores_gemma":[0.9986859,0.000143363,0.0007748185,0.00002405252,0.0001134362,0.0002584383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003501283,0.00005451557,0.996036,0.00001609522,0.00001771883,0.00004046975,0.0001904605,0.00003631136,0.00009974512,0.00001367303,0.0004665649,0.002993522],"study_design_scores_gemma":[0.000002800802,0.00006024857,0.9988332,0.00002299475,0.000006540847,0.00009252913,0.0005819884,0.0001034553,0.00003106537,0.000006899287,0.0002561858,0.000002015333],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971247,0.0002790745,0.00004957183,0.0002490809,0.00001051812,0.00002002619,0.001566215,0.000006715616,0.0006941469],"genre_scores_gemma":[0.9983524,0.0001909349,0.0000958684,0.0001492965,0.00001893072,0.00002852667,0.0009662377,0.000001063789,0.0001968638],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01853232,"threshold_uncertainty_score":0.03684884,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04885766630239094,"score_gpt":0.3516315630641005,"score_spread":0.3027738967617096,"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."}}