{"id":"W2987863330","doi":"10.1097/ede.0000000000001137","title":"Within-city Spatial Variations in Ambient Ultrafine Particle Concentrations and Incident Brain Tumors in Adults","year":2019,"lang":"en","type":"article","venue":"Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Statistics Canada; McGill University; Health Canada","funders":"Fonds de Recherche du Québec - Santé; Health Canada; Cancer Research Society","keywords":"Ultrafine particle; Cohort; Medicine; Incidence (geometry); Demography; Proportional hazards model; Environmental health; Cohort study; Internal medicine; Chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00232194,0.00008867397,0.000261879,0.00002668446,0.0000542149,0.000003521211,0.00007924254,0.00008738154,0.0008381681],"category_scores_gemma":[0.002169841,0.00008321922,0.00001641351,0.000163199,0.0001494959,0.00013861,0.00006402447,0.0002073101,0.0001789909],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001878973,"about_ca_system_score_gemma":0.0000330196,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.02318767,"about_ca_topic_score_gemma":0.04269957,"domain_scores_codex":[0.9979879,0.0006668175,0.000585938,0.0002925871,0.00007728161,0.0003895115],"domain_scores_gemma":[0.9983496,0.00118635,0.00014825,0.0001564719,0.000003842525,0.000155505],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004243612,0.00007479833,0.9862608,0.00000902928,0.000001051821,0.000002478774,0.00257144,0.004591304,0.00020038,0.005150869,0.0005607296,0.0005346833],"study_design_scores_gemma":[0.0006910085,0.000126519,0.9542766,0.00002595478,0.000001090726,0.000004316419,0.0001155997,0.04075697,0.00006953924,0.00331279,0.0005353697,0.00008430302],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9470395,0.00002126222,0.0008332133,0.05140216,0.00009933976,0.0003641331,0.000006590388,0.00001344869,0.0002203931],"genre_scores_gemma":[0.9831212,0.0000147669,0.0008198948,0.01591357,0.00002156513,0.00002218711,0.000009926698,0.000004071366,0.00007285544],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03616567,"threshold_uncertainty_score":0.983317,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04124192501078483,"score_gpt":0.3269780194987364,"score_spread":0.2857360944879516,"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."}}