{"id":"W4410513001","doi":"10.3899/jrheum.2025-0390.pv217","title":"EXPEDITING LUPUS CLASSIFICATION OF AT-RISK INDIVIDUALS USING NOVEL TECHNOLOGY: OUTCOMES OF A PILOT STUDY","year":2025,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Systemic Lupus Erythematosus Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Expediting; Systemic lupus erythematosus; Internal medicine; Intensive care medicine; Disease","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":[0.003922592,0.0005918113,0.0006049717,0.0006298123,0.0009145718,0.001263248,0.0004922588,0.0009090062,0.001918144],"category_scores_gemma":[0.007321378,0.0002493873,0.001023082,0.0005476358,0.0004909526,0.001230028,0.001343735,0.001137355,0.0008166482],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007102577,"about_ca_system_score_gemma":0.001071671,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003972783,"about_ca_topic_score_gemma":0.002685923,"domain_scores_codex":[0.9988068,0.0006637069,0.00007648598,0.0001446921,0.0001313692,0.0001770126],"domain_scores_gemma":[0.9938862,0.001555542,0.0009882444,0.0007490652,0.001180809,0.001640155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.04093432,0.1184574,0.7206361,0.0002378084,0.0004137205,0.0007238185,0.004309482,0.0008672938,0.001804395,0.0002244857,0.002575434,0.1088158],"study_design_scores_gemma":[0.008326851,0.2806577,0.6968116,0.0001215545,0.0004965587,0.000545976,0.0044179,0.00425423,0.001444308,0.0003918897,0.002431676,0.00009963103],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987115,0.00004090268,0.0001805792,0.0000565313,0.000009865635,0.0004032873,0.0001889415,0.00001268163,0.000395766],"genre_scores_gemma":[0.9972615,0.00009821355,0.0008674923,0.00009465339,0.00003114323,0.000702902,0.0004750559,0.000005540718,0.000463501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003972783,"threshold_uncertainty_score":0.02074492,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06466812455188488,"score_gpt":0.3615973936817851,"score_spread":0.2969292691299003,"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."}}