{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005630112,0.00007296808,0.0001535829,0.0003021415,0.0005714984,0.0005590567,0.0001370821,0.0004472253,0.005146054],"category_scores_gemma":[0.00299804,0.00009148815,0.0001919264,0.0005176589,0.0002686997,0.0004294112,0.0004622646,0.0004772211,0.0003526443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003197125,"about_ca_system_score_gemma":0.0003388943,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001468374,"about_ca_topic_score_gemma":0.0024583,"domain_scores_codex":[0.9993619,0.0003169357,0.00004177963,0.00003918599,0.0001023312,0.0001377924],"domain_scores_gemma":[0.9979382,0.0005682602,0.0009035972,0.00003840143,0.0001254436,0.0004260422],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000530579,0.0002431153,0.9128451,0.0004471695,0.00005713734,0.009079035,0.005405359,0.0001514772,0.001999977,0.0002448584,0.003265535,0.06573062],"study_design_scores_gemma":[0.00002804268,0.0007548752,0.9609958,0.0001621532,0.0000364281,0.01525638,0.01643516,0.0002643281,0.0003574276,0.0001547794,0.00553888,0.00001579566],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949013,0.001887169,0.0001665469,0.0007939308,0.00003323174,0.00001617402,0.00008526981,0.000005419187,0.002110953],"genre_scores_gemma":[0.9985049,0.0007082346,0.00008784352,0.0002543636,0.00003605854,0.000007495544,0.00003831507,0.000001672675,0.0003611844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005146054,"threshold_uncertainty_score":0.01721525,"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."}}