{"id":"W3155836738","doi":"10.2196/25999","title":"Evaluating the Experiences of New and Existing Teledermatology Patients During the COVID-19 Pandemic: Cross-sectional Survey Study","year":2021,"lang":"en","type":"article","venue":"JMIR Dermatology","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Medicine; Pandemic; Cross-sectional study; Context (archaeology); Telehealth; Patient satisfaction; Coronavirus disease 2019 (COVID-19); Family medicine; Health care; Telemedicine; Internal medicine; Nursing; Pathology","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":[0.001793928,0.0001165049,0.0002698021,0.0006439743,0.0004808377,0.0006290234,0.0002819295,0.0004400478,0.001539447],"category_scores_gemma":[0.0036821,0.0002509647,0.0003047713,0.0006997382,0.0003891707,0.0008649391,0.0007043285,0.0006687489,0.0001582487],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005058663,"about_ca_system_score_gemma":0.0004087306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002627989,"about_ca_topic_score_gemma":0.004565654,"domain_scores_codex":[0.9991292,0.0004085236,0.0001027736,0.0000742256,0.0001332914,0.0001519088],"domain_scores_gemma":[0.9961451,0.00106139,0.001719421,0.00008686633,0.0003070043,0.0006802833],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005257985,0.0001740471,0.9938948,0.00003257467,0.00002389696,0.0001009594,0.003108107,0.00003068281,0.0001999605,0.00001500843,0.0001553517,0.002212074],"study_design_scores_gemma":[0.00001149654,0.0006160219,0.9846112,0.00002021425,0.00001335885,0.0003668818,0.01357676,0.0002403661,0.00009647054,0.00001061206,0.0004271151,0.00000949408],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9996746,0.00003294791,0.00002282398,0.00003621402,0.000001321804,0.00001753724,0.00007374398,6.544055e-7,0.0001402045],"genre_scores_gemma":[0.99964,0.00005679102,0.00008186163,0.00006630026,0.000003726839,0.00002308194,0.00006813564,5.559214e-7,0.00005957952],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002627989,"threshold_uncertainty_score":0.009487271,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2697977255196958,"score_gpt":0.5232398269395359,"score_spread":0.2534421014198401,"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."}}