{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006837284,0.0001302244,0.0003343214,0.00006654271,0.0004778287,0.00002085007,0.0001113284,0.00007875416,0.0001783963],"category_scores_gemma":[0.002034351,0.00007967818,0.00003522748,0.0002654993,0.0002497763,0.00006049858,0.0001235382,0.0002305698,0.000002413698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005003323,"about_ca_system_score_gemma":0.0005029117,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003502315,"about_ca_topic_score_gemma":0.0005029606,"domain_scores_codex":[0.9976316,0.0007240429,0.0007159919,0.0003010459,0.0003393799,0.0002879311],"domain_scores_gemma":[0.9978427,0.001195874,0.0003204602,0.0002519565,0.0002454201,0.0001436364],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001628183,0.0001065555,0.9741943,0.0001257742,0.00004608213,0.00003355723,0.02416112,0.000002440505,0.00008969888,0.00001804531,0.000302625,0.0007569178],"study_design_scores_gemma":[0.003763557,0.0002498291,0.97441,0.000006046053,0.00002152301,0.003293296,0.01750124,0.00006495752,0.0001302319,0.00004059689,0.0004534776,0.00006523819],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975964,0.0002452784,0.00004517973,0.0008975223,0.000257841,0.0008742303,0.000004838236,0.0000325668,0.0000460934],"genre_scores_gemma":[0.9976035,0.00001368262,0.00008145829,0.001895729,0.00007417564,0.0001738598,0.00004819828,0.00001048364,0.00009895257],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006659883,"threshold_uncertainty_score":0.367512,"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."}}