{"id":"W4410512982","doi":"10.3899/jrheum.2025-0390.pv153","title":"LUPUS NEXUS: DEVELOPING A LUPUS REGISTRY, BIOREPOSITORY AND DATA EXCHANGE PLATFORM TO ACCELERATE PRECISION MEDICINE IN LUPUS","year":2025,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Systemic lupus erythematosus; Biorepository; Dermatology; Nexus (standard); Lupus nephritis; Lupus erythematosus; Pathology; Bioinformatics; Immunology; Disease; Biobank; Computer science; Antibody","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"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":[0.1275919,0.0009608004,0.001032063,0.005391782,0.002222848,0.009361478,0.003993623,0.002125312,0.02959367],"category_scores_gemma":[0.1077399,0.001043085,0.001335106,0.003161205,0.001718165,0.01316397,0.02173399,0.004761251,0.01673667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003205599,"about_ca_system_score_gemma":0.02421387,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003346041,"about_ca_topic_score_gemma":0.003566145,"domain_scores_codex":[0.9352142,0.04474391,0.00473782,0.005001967,0.007863993,0.002438133],"domain_scores_gemma":[0.8455524,0.04465526,0.01319102,0.02983189,0.02701671,0.03975275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001987386,0.0008836977,0.02759726,0.001324578,0.0002582083,0.0006481108,0.004032176,0.003178434,0.005547899,0.03251486,0.4598475,0.4621799],"study_design_scores_gemma":[0.001566976,0.001213853,0.01706754,0.001940068,0.0001473917,0.0005376156,0.002155229,0.01453018,0.005613699,0.0316999,0.9232796,0.0002479508],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.05086691,0.004254324,0.5593295,0.1327159,0.00908643,0.02598887,0.03265263,0.08212303,0.1029825],"genre_scores_gemma":[0.08658792,0.002216076,0.8061444,0.01678002,0.003062558,0.01499776,0.03680749,0.006018876,0.02738488],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1275919,"threshold_uncertainty_score":0.6747783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0673309547312717,"score_gpt":0.364284614909055,"score_spread":0.2969536601777833,"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."}}