{"id":"W4411411814","doi":"10.1016/j.ard.2025.05.439","title":"POS0042 EPIDEMIOLOGICAL ANALYSIS OF SYSTEMIC SCLEROSIS PREVALENCE AND SURVIVAL IN ISRAEL USING THE CLALIT HEALTH SERVICES DATABASE: GEOGRAPHIC DISTRIBUTION, DEMOGRAPHICS, AND MORTALITY TRENDS","year":2025,"lang":"en","type":"article","venue":"Annals of the Rheumatic Diseases","topic":"Systemic Sclerosis and Related Diseases","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Epidemiology; Demographics; Database; Environmental health; Health services; Demography; Population; Internal medicine","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":[0.0009185799,0.0002411686,0.0003742281,0.005088324,0.0002419706,0.0006246331,0.0004797491,0.0002405887,0.006198222],"category_scores_gemma":[0.002855457,0.0001401983,0.0003097644,0.006733311,0.0001190306,0.0004337134,0.0004793557,0.0003162026,0.0009999312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006958436,"about_ca_system_score_gemma":0.0008573409,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01787352,"about_ca_topic_score_gemma":0.01658941,"domain_scores_codex":[0.999298,0.0001516493,0.0001824059,0.0001287559,0.0001615952,0.00007755074],"domain_scores_gemma":[0.9977568,0.0003861056,0.0009541461,0.0001136296,0.0005741334,0.0002152798],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001529787,0.0000391264,0.983452,0.0001259761,0.0001311161,0.00003343149,0.00004084846,0.0001194504,0.00009421268,0.00008513428,0.009176274,0.006549512],"study_design_scores_gemma":[0.00004316719,0.00004667326,0.9951857,0.00009324407,0.00005638956,0.0001675066,0.0001696884,0.0006253294,0.00007332595,0.00005378954,0.00347866,0.000006617322],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.660168,0.001291483,0.0006512709,0.0004220339,0.00002541526,0.0002821557,0.3288382,0.0001458785,0.008175533],"genre_scores_gemma":[0.729953,0.0007444411,0.001115786,0.000289672,0.00006323526,0.000571347,0.2657304,0.00002854638,0.001503558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01787352,"threshold_uncertainty_score":0.03553897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07503635463882194,"score_gpt":0.3640829614624281,"score_spread":0.2890466068236062,"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."}}