{"id":"W3214110894","doi":"10.1016/j.jdermsci.2021.09.008","title":"Corrigendum to ‘SJS/TEN 2019: From science to translation’ [J. Dermatol. Sci. 98/1 (2020) 2–12]","year":2021,"lang":"en","type":"erratum","venue":"Journal of Dermatological Science","topic":"Drug-Induced Adverse Reactions","field":"Medicine","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Health Sciences Centre; London Health Sciences Centre; Western University; Health Canada; Vancouver General Hospital; University of Alberta; Genome British Columbia; Sunnybrook Health Science Centre; Canadian Institutes of Health Research; Genome Canada; BC Children's Hospital; University of British Columbia","funders":"National Institutes of Health; National Institute of Allergy and Infectious Diseases; European Commission; Medical Research Council; National Institute for Health and Care Research","keywords":"Toxic epidermal necrolysis; Regret; Dermatology; Medicine; Multidisciplinary approach; European union; Erythema; Political science; Computer science; Business","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.001397176,0.0005652272,0.001592566,0.001462033,0.0008475802,0.0005169173,0.002231321,0.0005153036,0.0002933052],"category_scores_gemma":[0.003434779,0.0004202875,0.0004786112,0.005436982,0.001382296,0.001153709,0.0004937571,0.002341849,0.0005169043],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001007202,"about_ca_system_score_gemma":0.009010369,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006480537,"about_ca_topic_score_gemma":0.00004501475,"domain_scores_codex":[0.9914827,0.0001140778,0.001545373,0.00119705,0.004344244,0.001316553],"domain_scores_gemma":[0.9929821,0.0001907433,0.0008496129,0.0009120795,0.002116987,0.002948484],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00006551221,0.0006550247,0.001673142,0.00009028802,0.0001271124,0.006499195,0.000794388,0.00007667505,0.05700081,0.0002548404,0.9093707,0.02339229],"study_design_scores_gemma":[0.0009691868,0.0001827253,0.09664316,0.001617671,0.0003837194,0.01476085,0.0007618233,0.0004180195,0.007179357,0.0002511771,0.8759915,0.0008407642],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1111535,0.007296735,0.009827892,0.1451067,0.2625202,0.00438374,0.0005261643,0.0005018655,0.4586832],"genre_scores_gemma":[0.7941066,0.002063226,0.09993745,0.02471513,0.008474634,0.00007383926,0.0001747561,0.0002286786,0.07022569],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6829531,"threshold_uncertainty_score":0.9999598,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04385659995045996,"score_gpt":0.3245590638070578,"score_spread":0.2807024638565979,"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."}}