{"id":"W1995519873","doi":"10.1016/j.scitotenv.2012.10.087","title":"Air-Pollution and Cardiometabolic Diseases (AIRCMD): A prospective study investigating the impact of air pollution exposure and propensity for type II diabetes","year":2012,"lang":"en","type":"article","venue":"The Science of The Total Environment","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":44,"is_retracted":false,"has_abstract":false,"ca_institutions":"Environment and Climate Change Canada","funders":"National Institute of Environmental Health Sciences","keywords":"Medicine; Type 2 diabetes; Environmental health; Prospective cohort study; Air pollution; Diabetes mellitus; Insulin resistance; Cohort study; Internal medicine; Endocrinology; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001138956,0.0009072168,0.0006283243,0.000734324,0.001324944,0.001360385,0.0006396677,0.001681922,0.001903119],"category_scores_gemma":[0.001731203,0.00143093,0.001552568,0.001689986,0.0005055221,0.0008997619,0.0009462531,0.001947691,0.0004719102],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003221406,"about_ca_system_score_gemma":0.0006937988,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01119892,"about_ca_topic_score_gemma":0.01042887,"domain_scores_codex":[0.99902,0.0003712991,0.00009863362,0.0002525071,0.0001114332,0.0001460929],"domain_scores_gemma":[0.9981993,0.0002401833,0.0004728466,0.0003017363,0.0001544125,0.0006314061],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0006398765,0.0002643899,0.99764,0.000009888056,0.0003609548,0.00009132735,0.00005408392,0.00003134857,0.0004735891,0.00002003773,0.00006098514,0.0003534467],"study_design_scores_gemma":[0.00003676146,0.00043406,0.9986668,0.000004628421,0.000186605,0.0001806686,0.0001314948,0.0001279899,0.00007520035,0.00002209853,0.0001277382,0.000005903261],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986601,0.0002555029,0.0001365879,0.00005905679,0.00002251634,0.00001847864,0.0005055533,0.000004623335,0.0003376326],"genre_scores_gemma":[0.998737,0.0001228575,0.000154314,0.00006956021,0.00003905388,0.00002345931,0.0004836741,0.000002909409,0.0003671114],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01119892,"threshold_uncertainty_score":0.02226746,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03501273621158316,"score_gpt":0.2881264721876993,"score_spread":0.2531137359761161,"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."}}