{"id":"W2958641711","doi":"10.1002/ijc.32575","title":"Exposure to ambient air pollution and the incidence of lung cancer and breast cancer in the Ontario Population Health and Environment Cohort","year":2019,"lang":"en","type":"article","venue":"International Journal of Cancer","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa; Air Canada; McGill University; McGill University Health Centre; Ottawa Public Health; University of Toronto; Dalhousie University; Health Canada; Public Health Ontario","funders":"Canadian Institutes of Health Research; Health Canada; Department of Family and Community Medicine, University of Toronto; University of Toronto; Ontario Ministry of Health and Long-Term Care","keywords":"Medicine; Breast cancer; Lung cancer; Cancer registry; Cohort; Population; Hazard ratio; Cancer; Cohort study; Incidence (geometry); Proportional hazards model; Internal medicine; Environmental health; Confidence interval","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005608444,0.0003032505,0.0003985178,0.0007666762,0.001374515,0.0007265592,0.0007489413,0.0004127237,0.002009675],"category_scores_gemma":[0.001833783,0.0004742018,0.0008806692,0.002418465,0.0003082032,0.0003326972,0.000765141,0.000469944,0.0002633975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.008619239,"about_ca_system_score_gemma":0.01311998,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9665111,"about_ca_topic_score_gemma":0.9767643,"domain_scores_codex":[0.9993935,0.00004749248,0.00003781696,0.0001241639,0.0002349749,0.0001621572],"domain_scores_gemma":[0.9988483,0.00005062529,0.0002070295,0.0001307001,0.0005025329,0.00026078],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001879875,0.00002509063,0.9912937,0.00004802093,0.0002208444,0.0001085716,0.0003121799,0.0001328501,0.000344122,0.00008337067,0.005365492,0.001877742],"study_design_scores_gemma":[0.00002085394,0.00001085307,0.997552,0.000009023408,0.00005029806,0.0000317283,0.00008237368,0.0001785569,0.00002088814,0.00001587276,0.002020646,0.000006958626],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9410625,0.001315704,0.0004314395,0.0006658592,0.00005994319,0.0001934735,0.05164589,0.00004116289,0.004584142],"genre_scores_gemma":[0.9725069,0.0007392886,0.0003398366,0.0001952452,0.00002429878,0.0001630254,0.02101926,0.0000147101,0.004997493],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03348887,"threshold_uncertainty_score":0.06737214,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01125923559411934,"score_gpt":0.3130118179349735,"score_spread":0.3017525823408541,"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."}}