{"id":"W1987276101","doi":"10.1097/00001648-200407000-00430","title":"CONTRASTING EVIDENCE WHEN USING HOSPITAL OR POPULATION CONTROLS: THE EXAMPLE OF THE ASSOCIATION BETWEEN EXPOSURE TO GASOLINE AND DIESEL EXHAUST, AND LUNG CANCER","year":2004,"lang":"en","type":"article","venue":"Epidemiology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Armand Frappier Museum","funders":"","keywords":"Lung cancer; Environmental health; Confounding; Medicine; Population; Diesel fuel; Odds ratio; Diesel exhaust; Demography; Cancer; Incidence (geometry); Oncology; Internal medicine; Engineering; Waste management; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"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":[0.001047974,0.0001005846,0.0002590883,0.00001381071,0.0001377579,0.000007646643,0.00008715796,0.0001210157,0.000002974448],"category_scores_gemma":[0.002082428,0.00005961893,0.00004384475,0.00004271418,0.00005586409,0.000005780299,0.0001071551,0.00008315659,5.631398e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006616585,"about_ca_system_score_gemma":0.00004877973,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004052022,"about_ca_topic_score_gemma":0.001006579,"domain_scores_codex":[0.9989535,0.0002381791,0.0002980379,0.0002372544,0.00006760697,0.0002054722],"domain_scores_gemma":[0.9989378,0.0005186283,0.000260155,0.0001666272,0.00007305547,0.00004369973],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003955781,0.000008129748,0.9298064,0.00001781786,0.00009434093,1.722418e-7,0.0001790154,0.001486979,0.06749315,0.00009581435,0.00009102485,0.0006876417],"study_design_scores_gemma":[0.0004625697,0.000237144,0.9944665,0.00007421874,0.0001117206,0.00000351357,0.00005694926,0.0002879433,0.003627948,0.0003149969,0.0002611227,0.00009541272],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987925,0.003408951,0.00436644,0.003772869,0.00009683812,0.000390569,0.00003259849,0.000003064772,0.000003675971],"genre_scores_gemma":[0.9978199,0.0002283412,0.0008971461,0.0006795391,0.0003013748,0.00002372849,0.000009318968,0.000007563006,0.00003311165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0646601,"threshold_uncertainty_score":0.6125472,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05961251020074559,"score_gpt":0.3506086093714901,"score_spread":0.2909960991707445,"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."}}