{"id":"W2106101493","doi":"10.1093/aje/kwj343","title":"Exposure to Diesel and Gasoline Engine Emissions and the Risk of Lung Cancer","year":2006,"lang":"en","type":"article","venue":"American Journal of Epidemiology","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Armand Frappier Museum; Institut National de la Recherche Scientifique","funders":"Health Canada; Health Effects Institute","keywords":"Lung cancer; Gasoline; Diesel fuel; Diesel engine; Medicine; Environmental science; Environmental health; Diesel exhaust; Waste management; Petrol engine; Automotive engineering; Engineering; Oncology; Internal combustion engine","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":[0.003116574,0.00007609846,0.0004838427,0.0000282778,0.00008815071,0.000001479809,0.00009651914,0.00002751696,0.0001108563],"category_scores_gemma":[0.002156881,0.00004152376,0.00004226755,0.000119889,0.0009744058,0.00004354459,0.00006506265,0.0002018736,8.366228e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003525683,"about_ca_system_score_gemma":0.0000193587,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00691039,"about_ca_topic_score_gemma":0.0002907379,"domain_scores_codex":[0.9982877,0.0007699304,0.0005484102,0.00009733195,0.0000731738,0.0002234166],"domain_scores_gemma":[0.9966229,0.002387471,0.0006727084,0.00009924434,0.00001487243,0.0002028542],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002513129,0.0000210052,0.9417199,0.000008628275,0.00002764258,0.000001499752,0.0007013323,0.007668022,0.00009300106,0.0003387002,0.01350191,0.03566704],"study_design_scores_gemma":[0.0005743989,0.0005692102,0.9858927,0.0000353008,0.00005625595,0.00005243259,0.0002195066,0.001738817,0.00001543481,0.002501543,0.008280172,0.00006425037],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9539761,0.002458784,0.004936379,0.03834844,0.00004762245,0.00007840976,0.00001054026,0.000002193366,0.0001415363],"genre_scores_gemma":[0.98374,0.003137387,0.008131013,0.004820461,0.000109951,0.000002475496,2.901959e-7,0.00000457337,0.0000538309],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04417276,"threshold_uncertainty_score":0.9997027,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02321605906084401,"score_gpt":0.3507245546300819,"score_spread":0.3275084955692379,"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."}}