{"id":"W2887271015","doi":"10.1093/annweh/wxy059","title":"Occupational Exposure to Diesel and Gasoline Engine Exhausts and the Risk of Kidney Cancer in Canadian Men","year":2018,"lang":"en","type":"article","venue":"Annals of Work Exposures and Health","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":19,"is_retracted":false,"has_abstract":true,"ca_institutions":"Cancer Care Ontario; Public Health Ontario; University of Toronto; Carleton University; Institut National de la Recherche Scientifique","funders":"Canadian Institutes of Health Research; Cancer Care Ontario","keywords":"Environmental health; Kidney cancer; Medicine; Odds ratio; Diesel exhaust; Confidence interval; Cancer; Occupational medicine; Lung cancer; Diesel engine; Population; Diesel fuel; Demography; Occupational exposure; Internal medicine; Waste management; Engineering; Automotive engineering","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":[0.000473757,0.0002654215,0.000267999,0.001206753,0.001246588,0.0006448996,0.0005827778,0.0003010624,0.002172336],"category_scores_gemma":[0.001276977,0.0002331654,0.0004955435,0.002417978,0.000408333,0.0001658465,0.0003828586,0.0002761163,0.0001438511],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006685677,"about_ca_system_score_gemma":0.01132182,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9737765,"about_ca_topic_score_gemma":0.9719916,"domain_scores_codex":[0.9994107,0.00003921706,0.00002943183,0.00007807996,0.0002747414,0.0001678549],"domain_scores_gemma":[0.9993771,0.00005304857,0.0001585034,0.00002176993,0.0002390515,0.0001506361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005952217,0.00001451602,0.9958711,0.00003577174,0.00005536211,0.00004749066,0.0001801182,0.0000638036,0.0001388139,0.00004704457,0.0003756837,0.003110653],"study_design_scores_gemma":[0.000004620289,0.00001370319,0.998904,0.00001780045,0.0000403716,0.00005391833,0.0001718858,0.0001268947,0.00004592195,0.0000212852,0.0005955365,0.000004206252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905576,0.002846871,0.0001367926,0.0004083087,0.00001501756,0.00002775046,0.002642899,0.00001444262,0.003350409],"genre_scores_gemma":[0.997482,0.001058745,0.0001463539,0.00004345561,0.000007308497,0.000005474364,0.0006951147,0.000002100271,0.0005595048],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02622354,"threshold_uncertainty_score":0.05275589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02652719932499991,"score_gpt":0.3480686748416927,"score_spread":0.3215414755166928,"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."}}