{"id":"W4379512153","doi":"10.1136/annrheumdis-2023-eular.2265","title":"OP0186 DISTINCT PERIPHERAL IMMUNOPHENOTYPING UNDERLINES HISTOPATHOLOGICAL FEATURES IN PATIENTS WITH LUPUS NEPHRITIS IN A LARGE MULTI-CENTER COHORT","year":2023,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"School of Medicine, University of California, San Diego; Medical Center, University of Rochester; University of California, San Diego; York University; Cedars-Sinai Medical Center; University of South Carolina; University of Cincinnati; University of Rochester; Texas Tech University","keywords":"Medicine; Lupus nephritis; Immunophenotyping; Cohort; Peripheral; Center (category theory); Pathology; Nephritis; Immunology; Internal medicine; Flow cytometry; Disease","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0004796327,0.0003910079,0.0004342348,0.0007314926,0.0005886747,0.00104901,0.0004506218,0.0004098647,0.002757776],"category_scores_gemma":[0.001817749,0.0003040785,0.000331693,0.0006649056,0.0003977455,0.0005799019,0.0005365821,0.0005691146,0.000408096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001768842,"about_ca_system_score_gemma":0.0002584836,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009016177,"about_ca_topic_score_gemma":0.001194362,"domain_scores_codex":[0.999525,0.000096247,0.0000430863,0.0001602529,0.00006557257,0.0001099515],"domain_scores_gemma":[0.9991664,0.0001790679,0.0003063403,0.00009360079,0.00007154965,0.0001830333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003911451,0.00003278599,0.9929532,0.00001199312,0.00004196704,0.0008484823,0.0001155734,0.00004800994,0.003257081,0.00004696573,0.0002303771,0.002022472],"study_design_scores_gemma":[0.00001718456,0.0001185382,0.9936895,0.000009546065,0.00005753633,0.004559549,0.0003807165,0.000279416,0.0003291072,0.0001132079,0.0004371562,0.000008520987],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992668,0.0001019972,0.00008258543,0.00003657548,0.000006116727,0.000003835431,0.0001180552,0.000004381829,0.0003797658],"genre_scores_gemma":[0.999554,0.00005133822,0.00006303457,0.00003947233,0.00001768518,0.000003350844,0.0001622632,0.000005501002,0.000103448],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002757776,"threshold_uncertainty_score":0.009225726,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03150101226983489,"score_gpt":0.3116063157587847,"score_spread":0.2801053034889499,"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."}}