{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001934072,0.0001049275,0.0002119575,0.0004665751,0.0003055912,0.0005000858,0.0001747657,0.0003585636,0.00261627],"category_scores_gemma":[0.003707866,0.0001319567,0.0004137626,0.0007304142,0.0002056645,0.0004780598,0.0003874238,0.0004314483,0.0002604969],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004129752,"about_ca_system_score_gemma":0.000298177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00277638,"about_ca_topic_score_gemma":0.003042064,"domain_scores_codex":[0.9990621,0.0004217519,0.0001413533,0.0000730156,0.0001542405,0.0001475784],"domain_scores_gemma":[0.9967952,0.001030579,0.001207381,0.00007522281,0.0004074651,0.0004841196],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001086523,0.0001633711,0.9933866,0.00003491776,0.00003384697,0.00005403792,0.0009569803,0.00004243714,0.000142469,0.00001241421,0.0002569426,0.004807452],"study_design_scores_gemma":[0.00001931702,0.0007657089,0.9944057,0.0000187792,0.00002191396,0.0002241539,0.003500892,0.000326507,0.0001060142,0.000008948386,0.0005942988,0.000007798641],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991364,0.00005459579,0.00005647053,0.0000630229,0.000001845971,0.00003019146,0.0002356082,0.000002000941,0.0004200133],"genre_scores_gemma":[0.9994624,0.0000546617,0.000117337,0.00006472897,0.000003661676,0.00003230985,0.0001456468,8.607468e-7,0.0001184462],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00277638,"threshold_uncertainty_score":0.01022846,"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."}}