{"id":"W4410513253","doi":"10.3899/jrheum.2025-0390.pv040","title":"SERUM PROTEOME PROFILING IDENTIFIES SEROLOGICALLY ACTIVE, CLINICALLY QUIESCENT LUPUS ENDOPHENOTYPES WITH DISTINCT DISEASE TRAJECTORIES","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; Endophenotype; Systemic lupus erythematosus; Proteome; Disease; Immunology; Profiling (computer programming); Computational biology; Bioinformatics; Pathology; Biology; Cognition; Psychiatry","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":[0.0003693644,0.000307997,0.0003275371,0.001026511,0.0002756599,0.0007611818,0.0001427066,0.0003677674,0.001129785],"category_scores_gemma":[0.0006880498,0.0001157788,0.0003661931,0.0007816785,0.0001962915,0.0002983334,0.0004368463,0.0002931687,0.0003092873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093702,"about_ca_system_score_gemma":0.000138322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004304947,"about_ca_topic_score_gemma":0.0005407786,"domain_scores_codex":[0.99977,0.00004803586,0.0000331408,0.00006829382,0.00003761148,0.00004283887],"domain_scores_gemma":[0.9995363,0.00006080268,0.0002327258,0.00002663355,0.00005803305,0.00008562352],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00119736,0.00007057546,0.9507045,0.00006813025,0.00009039369,0.0004311056,0.0002045346,0.000129809,0.03453045,0.0001065833,0.0005160529,0.01195056],"study_design_scores_gemma":[0.00001706703,0.000240621,0.9953125,0.00001257201,0.00004172772,0.001034693,0.0001870055,0.0005460978,0.001838307,0.0001611927,0.0006008753,0.000007454],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986538,0.0003908854,0.0002493164,0.0000450784,0.000005921475,0.000007343695,0.0003306637,0.000007742055,0.0003091946],"genre_scores_gemma":[0.9985244,0.000155262,0.0003392495,0.00004712342,0.00001448807,0.000008203642,0.0007480919,0.000003466777,0.0001597291],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001129785,"threshold_uncertainty_score":0.003779471,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01972875981832483,"score_gpt":0.3089893603898768,"score_spread":0.289260600571552,"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."}}