{"id":"W2615630043","doi":"10.1016/j.envres.2017.04.035","title":"Industrial air emissions, and proximity to major industrial emitters, are associated with anti-citrullinated protein antibodies","year":2017,"lang":"en","type":"article","venue":"Environmental Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":41,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Calgary; Jewish General Hospital; Ontario Institute for Cancer Research; Institute of Cancer Research; Institut National de Santé Publique du Québec; Université de Montréal; McGill University Health Centre","funders":"Canadian Institutes of Health Research; Goddard Space Flight Center","keywords":"Air pollution; Particulates; Air pollutants; Sulfur dioxide; Environmental science; Cohort; Population; Logistic regression; Medicine; Pollutant; Environmental health; Biology; Internal medicine; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0003755352,0.0004492319,0.0002541673,0.001062224,0.0003441231,0.0007378124,0.0003707602,0.0009237723,0.002909801],"category_scores_gemma":[0.001982842,0.0003313829,0.0004754596,0.0009688326,0.0002892224,0.0003009083,0.000294714,0.0007541156,0.0004749412],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001676139,"about_ca_system_score_gemma":0.0001304076,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001553669,"about_ca_topic_score_gemma":0.0009996212,"domain_scores_codex":[0.9995053,0.0001247497,0.00005608731,0.0001164881,0.00009620143,0.000101226],"domain_scores_gemma":[0.9965384,0.0008788152,0.001731309,0.000227749,0.000332661,0.0002911277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006278887,0.0001567849,0.979297,0.00004669512,0.0001492394,0.001083839,0.00009869079,0.0000926674,0.01487361,0.00003208531,0.0001935121,0.003348023],"study_design_scores_gemma":[0.00000716721,0.0001741092,0.9933645,0.000011814,0.00007164384,0.003837724,0.0001286532,0.000196209,0.001698893,0.00004156547,0.0004637251,0.00000407734],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976305,0.0008371981,0.0002788174,0.00006096525,0.00001866495,0.000005987374,0.0001665751,0.00001347067,0.0009877698],"genre_scores_gemma":[0.9990609,0.0001246148,0.0001571129,0.00002988525,0.00001971185,0.000002638588,0.0001270543,0.000004186684,0.000473802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002909801,"threshold_uncertainty_score":0.009734273,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1548150479423271,"score_gpt":0.3705812694793282,"score_spread":0.2157662215370011,"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."}}