{"id":"W3138736509","doi":"10.1111/1346-8138.15812","title":"Teledermatology in times of COVID‐19","year":2021,"lang":"en","type":"article","venue":"The Journal of Dermatology","topic":"Telemedicine and Telehealth Implementation","field":"Medicine","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Teledermatology; Pandemic; Coronavirus disease 2019 (COVID-19); Medicine; Telemedicine; Family medicine; Quality of life (healthcare); Quarter (Canadian coin); Dermatology Life Quality Index; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Telehealth; Disease; Health care; Nursing; 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":[0.0003268813,0.00006852787,0.0004793965,0.0001956291,0.00002810173,0.000001233373,0.00008940011,0.00006516123,0.0006968329],"category_scores_gemma":[0.0005314302,0.00004446316,0.00005545273,0.0002408368,0.0001077602,0.00004082214,0.00002663532,0.0002531091,0.000005891738],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003526809,"about_ca_system_score_gemma":0.0008099618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003084511,"about_ca_topic_score_gemma":0.00006715265,"domain_scores_codex":[0.9984708,0.0003271962,0.0008091661,0.00005232833,0.000161726,0.0001787728],"domain_scores_gemma":[0.9986598,0.0004544207,0.0004360266,0.0001439672,0.0001835231,0.0001222421],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"case_report","study_design_scores_codex":[0.001487467,0.0005529606,0.8689325,0.001093557,0.0003268036,0.01024294,0.007329992,0.00002794522,0.009489458,0.008241246,0.08448999,0.00778512],"study_design_scores_gemma":[0.01591409,0.0008013988,0.09691071,0.0001823701,0.0005317837,0.6918567,0.01350356,0.000135935,0.06725606,0.009857722,0.1028809,0.0001686883],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.899666,0.002525322,0.0005633561,0.09569734,0.0001747324,0.0001119237,0.000001606847,0.000005178877,0.001254571],"genre_scores_gemma":[0.993893,0.0005480942,0.0005736286,0.004882336,0.00004695834,0.000001005874,0.000004598909,0.000006302712,0.00004405651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7720218,"threshold_uncertainty_score":0.7629831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03310845827670584,"score_gpt":0.3705815533084983,"score_spread":0.3374730950317925,"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."}}