{"id":"W3148228083","doi":"10.2196/28589","title":"Patient Satisfaction and Trust in Telemedicine During the COVID-19 Pandemic: Retrospective Observational Study","year":2021,"lang":"en","type":"article","venue":"JMIR Human Factors","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":216,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Center for Advancing Translational Sciences; National Institutes of Health","keywords":"Telemedicine; Medicine; Patient satisfaction; Observational study; Family medicine; Descriptive statistics; Retrospective cohort study; Logistic regression; Ordered logit; Telehealth; Health care; Pandemic; Coronavirus disease 2019 (COVID-19); Nursing; Internal 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002872167,0.0001614336,0.0002891808,0.0001674619,0.0003065223,0.0000189796,0.00002874303,0.00005608483,0.000592755],"category_scores_gemma":[0.0003425745,0.0001130452,0.00003272508,0.0003880938,0.00006726722,0.0001075362,0.00004771032,0.0003448628,0.000001739608],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005966891,"about_ca_system_score_gemma":0.0001746244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0011431,"about_ca_topic_score_gemma":0.004695035,"domain_scores_codex":[0.9982743,0.0001222101,0.0005034102,0.0003382982,0.0005150362,0.000246732],"domain_scores_gemma":[0.9991746,0.0001306684,0.0001583308,0.0002224615,0.0001116367,0.0002023126],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005938804,0.0001595727,0.986454,0.00007626111,0.00003639654,0.00006044373,0.0103016,0.000001293208,0.001415385,0.00006672209,0.0004462943,0.0009226504],"study_design_scores_gemma":[0.003964519,0.0006823547,0.9744886,0.00002225582,0.00003646645,0.00006726558,0.01891959,0.000003875306,0.00009689538,0.0001410973,0.001480331,0.00009677599],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966621,0.00005983519,0.000005457387,0.001575438,0.0001086593,0.001418596,0.00001706699,0.00006076492,0.00009205705],"genre_scores_gemma":[0.9979637,0.00002111361,0.0000167287,0.001419869,0.0001580637,0.0001396895,0.0001081063,0.00001634658,0.0001563269],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01196541,"threshold_uncertainty_score":0.6490252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1292029743150371,"score_gpt":0.4122542398659436,"score_spread":0.2830512655509065,"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."}}