{"id":"W3175961638","doi":"10.1089/tmj.2021.0200","title":"Assessing Patient Satisfaction with Live-Interactive Teledermatology Visits During the COVID-19 Pandemic: A Survey Study","year":2021,"lang":"en","type":"article","venue":"Telemedicine Journal and e-Health","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Medicine; Coronavirus disease 2019 (COVID-19); Pandemic; Patient satisfaction; Demographics; Family medicine; Quarter (Canadian coin); Health care; Telemedicine; Nursing; Disease; Demography; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002520709,0.0002764002,0.0007851236,0.000232346,0.001196306,0.00008735335,0.00005858856,0.00005490812,0.0003058804],"category_scores_gemma":[0.0005004427,0.0001600343,0.00004724635,0.0004594783,0.00008589638,0.000284995,0.00006107768,0.001046673,0.000004251907],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006528614,"about_ca_system_score_gemma":0.002109617,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006232956,"about_ca_topic_score_gemma":0.01616755,"domain_scores_codex":[0.9961123,0.001049527,0.001101932,0.0003961592,0.0007191035,0.0006209614],"domain_scores_gemma":[0.9970275,0.0004544759,0.0009090079,0.0002451417,0.0003925676,0.000971302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003911873,0.0002278424,0.9268833,0.0002757842,0.0002215171,0.0005130644,0.01041528,0.0000033269,0.0000848364,0.00000252111,0.004023531,0.05695781],"study_design_scores_gemma":[0.006688957,0.003719371,0.8990411,0.0002421445,0.0001013891,0.03696268,0.05102811,0.00002519324,0.00001283724,0.00001941655,0.002032213,0.000126641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954608,0.001952453,0.0009995437,0.04100884,0.0003006627,0.001022065,0.000009483867,0.00006158147,0.00003742922],"genre_scores_gemma":[0.9771784,0.00132025,0.0003008648,0.02061882,0.0004278014,0.0000262198,0.0000468848,0.0000292925,0.0000514911],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.05683117,"threshold_uncertainty_score":0.9422407,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1054596798810401,"score_gpt":0.4385162590966612,"score_spread":0.3330565792156212,"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."}}