{"id":"W4224879671","doi":"10.1016/j.jaad.2022.04.028","title":"Cross-sectional characteristics of pediatric-onset discoid lupus erythematosus: Results of a multicenter, retrospective cohort study","year":2022,"lang":"en","type":"article","venue":"Journal of the American Academy of Dermatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"EMD Serono; National Institutes of Health; Principia Biopharma; Georgia Clinical and Translational Science Alliance; National Center for Advancing Translational Sciences; Pediatric Dermatology Research Alliance; Biogen","keywords":"Medicine; Discoid lupus erythematosus; Systemic lupus erythematosus; Rheumatology; Retrospective cohort study; Internal medicine; Anti-nuclear antibody; Lupus erythematosus; Cohort; Dermatology; Connective tissue disease; Autoimmune disease; Immunology; Disease; Antibody; Autoantibody","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001160384,0.0006217278,0.0006801579,0.0008856362,0.0006283305,0.0008612251,0.000550192,0.0006539714,0.00103354],"category_scores_gemma":[0.002328794,0.0006876824,0.000729301,0.001668628,0.0004167562,0.0009840553,0.0005869511,0.0006692372,0.0002332926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005153168,"about_ca_system_score_gemma":0.0005477857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007097464,"about_ca_topic_score_gemma":0.005447205,"domain_scores_codex":[0.9989127,0.0002908985,0.0001245341,0.0003413776,0.0001446583,0.0001858095],"domain_scores_gemma":[0.9978662,0.0002967831,0.0009494225,0.0002699253,0.0002658204,0.0003518372],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007381762,0.00002983924,0.9992842,0.000002623781,0.00004908889,0.00007621753,0.00004798949,0.00001521672,0.0001302718,0.000007700126,0.00003893092,0.0002441558],"study_design_scores_gemma":[0.000007253296,0.00008658558,0.9991568,0.000002305419,0.00003499368,0.000332026,0.0002125087,0.00006391847,0.00003129209,0.00000560402,0.00006423236,0.000002528571],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9993057,0.0001201631,0.00005490562,0.00001458723,0.000003813212,0.000005004339,0.0003791359,0.000002550466,0.000114014],"genre_scores_gemma":[0.9993425,0.00009941161,0.00006274381,0.00001416466,0.000006163616,0.000007558918,0.0004197875,0.000002729949,0.00004496715],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007097464,"threshold_uncertainty_score":0.01411229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268654362423272,"score_gpt":0.3460607837391337,"score_spread":0.323374240114901,"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."}}