{"id":"W4411291002","doi":"10.1002/art.43276","title":"Systemic Autoimmune Rheumatic Disease Risk: Association With Long‐Term Exposure to Fine Particulate Matter","year":2025,"lang":"en","type":"article","venue":"Arthritis & Rheumatology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval; Institut National de Santé Publique du Québec; Université de Montréal; McGill University Health Centre; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Term (time); Rheumatic disease; Autoimmune disease; Disease; Particulates; Immunology; Internal medicine; Biology; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004593011,0.0002277254,0.000144381,0.0003182034,0.0002878406,0.000533418,0.0003713422,0.0004085662,0.00241672],"category_scores_gemma":[0.001767548,0.0001411585,0.0004124366,0.0006874835,0.0002744042,0.0002007435,0.0002951445,0.0003939887,0.0001567703],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001089726,"about_ca_system_score_gemma":0.0009153189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.3096888,"about_ca_topic_score_gemma":0.272061,"domain_scores_codex":[0.9996955,0.00006861501,0.00002199036,0.00009042423,0.00005729954,0.00006607154],"domain_scores_gemma":[0.9985536,0.0002460615,0.0006818842,0.00009721196,0.00023697,0.0001842888],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001164863,0.00001259189,0.9979419,0.00001425455,0.00007129329,0.00004005203,0.00002212771,0.0002598372,0.0001692006,0.00002226203,0.0001339498,0.001195984],"study_design_scores_gemma":[0.000004567192,0.00002566848,0.9986799,0.000006158279,0.00002225665,0.00006447973,0.0000304973,0.0009222393,0.00002425274,0.00002014949,0.0001973759,0.000002373596],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962049,0.0009816724,0.0003358032,0.0001844018,0.00000673254,0.000009827838,0.001498529,0.00001486767,0.000763236],"genre_scores_gemma":[0.9989997,0.0001583251,0.0001148938,0.00002163284,0.00001038499,0.000003754748,0.000413161,0.000001550694,0.0002766651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3096888,"threshold_uncertainty_score":0.6157724,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006962326810012094,"score_gpt":0.2450597289142848,"score_spread":0.2380974021042727,"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."}}