{"id":"W2623187256","doi":"10.1016/j.envres.2017.05.038","title":"The association between the incidence of postmenopausal breast cancer and concentrations at street-level of nitrogen dioxide and ultrafine particles","year":2017,"lang":"en","type":"article","venue":"Environmental Research","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":72,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université du Québec à Montréal; Armand Frappier Museum; University of New Brunswick; University of Toronto; University of Ottawa; Institut National de la Recherche Scientifique; Health Canada; Université de Montréal; Carleton University; McGill University Health Centre; McGill University","funders":"Fonds de Recherche du Québec - Santé; Health Canada; Fondation du cancer du sein du Québec; Cancer Research Society","keywords":"Odds ratio; Breast cancer; Demography; Medicine; Incidence (geometry); Environmental health; Logistic regression; Population; Ultrafine particle; Confidence interval; Air pollution; Nitrogen dioxide; Cancer; Geography; Internal medicine; Meteorology; Chemistry; Ecology; Biology","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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001598853,0.00006852541,0.0001063186,0.000008505134,0.001343536,0.00003483766,0.0002615025,0.00004698408,0.0001280347],"category_scores_gemma":[0.0002370672,0.00004344117,0.00001403124,0.00003586362,0.00163145,0.0001898344,0.000467436,0.0001641724,0.00001304984],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003227737,"about_ca_system_score_gemma":0.00002132219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003963027,"about_ca_topic_score_gemma":0.003456485,"domain_scores_codex":[0.9984332,0.000207499,0.0002107837,0.0001565173,0.0006716829,0.0003202977],"domain_scores_gemma":[0.9985963,0.0007908954,0.0001991997,0.0002788985,0.000006094593,0.0001286277],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003145769,0.0000263555,0.9669062,0.000006376514,0.00001824862,3.385702e-7,0.00047079,0.00000546254,0.01752716,0.00007169915,0.0001444839,0.01479137],"study_design_scores_gemma":[0.0002144017,0.00008201903,0.9798775,0.00001233824,0.00001214951,0.000001301614,0.0003504817,0.00005932609,0.0181697,0.0008813524,0.0002965269,0.00004288373],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9918137,0.0002462785,0.00000335706,0.007158846,0.00001039128,0.0002622239,0.000377059,0.000001823382,0.000126292],"genre_scores_gemma":[0.9982267,0.001420482,0.0000335825,0.00005193445,0.00002518724,0.00001702783,0.000003613738,0.000005344519,0.0002161412],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01474848,"threshold_uncertainty_score":0.9999566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.113982781236952,"score_gpt":0.3868070462778224,"score_spread":0.2728242650408704,"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."}}