{"id":"W4409068878","doi":"10.1002/acr.25533","title":"Reply","year":2025,"lang":"en","type":"letter","venue":"Arthritis Care & Research","topic":"Tuberculosis Research and Epidemiology","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Arthritis and Musculoskeletal and Skin Diseases; University of California, San Francisco; Agency for Healthcare Research and Quality; National Institutes of Health; U.S. Department of Veterans Affairs","keywords":"Medicine; Immunosuppression; Latent tuberculosis; Tuberculosis; Intensive care medicine; Medicaid; Disease; Limiting; Immunology; Mycobacterium tuberculosis; Internal medicine; Health care; Pathology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.004014259,0.0009745177,0.001044341,0.001151413,0.002439849,0.005022639,0.002447316,0.01450547,0.05479558],"category_scores_gemma":[0.05863839,0.0005073749,0.001327884,0.0006956019,0.002218825,0.006169389,0.003133602,0.02432175,0.03967062],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002489422,"about_ca_system_score_gemma":0.00466491,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002646435,"about_ca_topic_score_gemma":0.002894282,"domain_scores_codex":[0.996196,0.0009044199,0.0003989057,0.0007849029,0.001195361,0.000520413],"domain_scores_gemma":[0.9774972,0.00694496,0.001261849,0.0009254628,0.01036505,0.003005462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001659834,0.000006348243,0.0001705499,0.00005034574,0.000005853817,0.0001655152,0.0000694005,0.00001199865,0.00003410184,0.000903369,0.9926614,0.005904651],"study_design_scores_gemma":[0.00001391818,0.00001221013,0.0002498684,0.0001841265,0.000007107791,0.0007621414,0.0002645885,0.00003325211,0.00009350944,0.001389895,0.9969677,0.00002171038],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.0003299348,0.003736606,0.0003487658,0.8231506,0.1664877,0.00003173685,0.0003855626,0.0001633904,0.005365742],"genre_scores_gemma":[0.002485842,0.002400849,0.0003597968,0.9260246,0.04712416,0.00007507668,0.0001779381,0.0001105577,0.02124103],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.05479558,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06612745101426834,"score_gpt":0.4188390139119632,"score_spread":0.3527115628976949,"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."}}