{"id":"W4410513142","doi":"10.3899/jrheum.2025-0390.pv075","title":"FINE PARTICULATE MATTER AIR POLLUTION AND ANTINUCLEAR ANTIBODY POSITIVITY: THE ONTARIO HEALTH STUDY","year":2025,"lang":"en","type":"article","venue":"The Journal of Rheumatology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Ontario; Ontario Institute for Cancer Research; University of Toronto; University Health Network; University of Calgary; McGill University; McGill University Health Centre; Institute for Clinical Evaluative Sciences; University of British Columbia; Research Canada; Institut National de Santé Publique du Québec; Université de Montréal","funders":"","keywords":"Medicine; Particulates; Anti-nuclear antibody; Air pollution; Environmental health; Pollution; Antibody; Immunology; Autoantibody","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.0006214888,0.000306827,0.0003054395,0.0005552346,0.001213806,0.0006801037,0.0007106595,0.0004493373,0.001866748],"category_scores_gemma":[0.00144683,0.0003728344,0.0004607036,0.002011125,0.0005531958,0.0003809511,0.0005903933,0.0004315371,0.0001465038],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.005359487,"about_ca_system_score_gemma":0.006091719,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9195207,"about_ca_topic_score_gemma":0.9569814,"domain_scores_codex":[0.9993848,0.0001017463,0.00004010447,0.0001167711,0.0001736533,0.0001828385],"domain_scores_gemma":[0.9989023,0.000105583,0.00034115,0.00009042333,0.0002335196,0.000326995],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006990651,0.00001271893,0.9985057,0.00001264903,0.00004621551,0.00002496059,0.0001576075,0.00002930166,0.00008153482,0.00003742125,0.0005336499,0.0004883236],"study_design_scores_gemma":[0.000009650394,0.000008293674,0.9994314,0.000007686747,0.00002083068,0.00001444161,0.0001121079,0.00006644632,0.000008849518,0.00001111191,0.0003068622,0.000002264456],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9921795,0.0006830776,0.0001005129,0.0003556499,0.00001409778,0.00004960615,0.004000251,0.00000419562,0.002613117],"genre_scores_gemma":[0.9981035,0.0002459516,0.00006541278,0.00006084792,0.0000110136,0.00002218738,0.0009016531,0.00000218987,0.0005872314],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.08047932,"threshold_uncertainty_score":0.1619065,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01646565569929436,"score_gpt":0.3092459267973359,"score_spread":0.2927802710980416,"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."}}