{"id":"W4324385669","doi":"10.3899/jrheum.230115","title":"From Prediction Tools to Precision Medicine in Antineutrophil Cytoplasmic Antibody–Associated Vasculitis","year":2023,"lang":"en","type":"letter","venue":"The Journal of Rheumatology","topic":"Vasculitis and related conditions","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Directorate for Biological Sciences","keywords":"Medicine; Anti-neutrophil cytoplasmic antibody; Immunosuppression; Kidney disease; Renal function; Azathioprine; Internal medicine; Vasculitis; Disease; Intensive care medicine; Glomerulonephritis; Kidney","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":[0.01579511,0.001974921,0.002360047,0.003247791,0.0005570772,0.004892804,0.002241737,0.0027722,0.003983216],"category_scores_gemma":[0.0609967,0.0005651251,0.001600628,0.002442969,0.002339574,0.003324851,0.002873371,0.004807482,0.001143876],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002186757,"about_ca_system_score_gemma":0.002705763,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005366584,"about_ca_topic_score_gemma":0.00293742,"domain_scores_codex":[0.9896122,0.007029306,0.0005486327,0.000991262,0.001618618,0.000199982],"domain_scores_gemma":[0.9511576,0.04215704,0.001812841,0.001442388,0.002609758,0.0008203795],"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":[0.000934979,0.0002985811,0.02443281,0.002907539,0.001837871,0.0004994493,0.0003685502,0.06108597,0.0007309036,0.06997174,0.04370473,0.793227],"study_design_scores_gemma":[0.0002425005,0.0008760869,0.01028728,0.005375649,0.0008690644,0.0006767118,0.0004063831,0.2097498,0.001887147,0.6991766,0.07010368,0.0003489703],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"commentary","genre_scores_codex":[0.02096163,0.3512724,0.5069877,0.09513624,0.004670749,0.0003307674,0.002885358,0.002301428,0.01545369],"genre_scores_gemma":[0.4393262,0.2230758,0.2871855,0.0289284,0.01428843,0.0006462847,0.002893816,0.0004276626,0.003227937],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01579511,"threshold_uncertainty_score":0.08353353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02004547034988442,"score_gpt":0.2823355930870043,"score_spread":0.2622901227371199,"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."}}