{"id":"W2862830994","doi":"10.1136/oemed-2018-105058","title":"Occupational exposure to benzene, toluene, xylene and styrene and risk of prostate cancer in a population-based study","year":2018,"lang":"en","type":"article","venue":"Occupational and Environmental Medicine","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Centre Hospitalier de l’Université de Montréal; Institut National de la Recherche Scientifique","funders":"Fonds de Recherche du Québec - Santé; Ministère du Développement Économique, de l’Innovation et de l’Exportation; Canadian Cancer Society Research Institute; Cancer Research Society","keywords":"Styrene; Occupational exposure; Toluene; Xylene; Prostate cancer; Benzene; Population; Environmental health; Medicine; Oncology; Cancer; Internal medicine; Chemistry; Organic chemistry","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":[0.0005625246,0.0003842817,0.0002839204,0.000846842,0.0007480989,0.0007602518,0.0005533664,0.0004399138,0.001335337],"category_scores_gemma":[0.001130135,0.000340827,0.0005439135,0.001618252,0.0004347517,0.0002289391,0.0003593339,0.0004958526,0.0001494684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002146917,"about_ca_system_score_gemma":0.00273378,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.6064785,"about_ca_topic_score_gemma":0.5668746,"domain_scores_codex":[0.9994453,0.00008742374,0.00002519202,0.000140998,0.0001812383,0.0001200102],"domain_scores_gemma":[0.9992949,0.00005074563,0.000182109,0.00004370953,0.0002313707,0.0001972057],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00004209888,0.00003232417,0.998899,0.000007614575,0.0001096946,0.00004776028,0.00009933642,0.00002536839,0.0002005285,0.000008490979,0.00009055377,0.0004373],"study_design_scores_gemma":[0.000004363239,0.00003603382,0.9996088,0.000003635827,0.00002766349,0.00004634875,0.0000675386,0.00004937824,0.00001565322,0.00000429463,0.000134236,0.000002139977],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998337,0.0004330637,0.0001207241,0.00005793744,0.000005235148,0.00002196632,0.0005979993,0.000006267677,0.0004197105],"genre_scores_gemma":[0.9990098,0.0002164683,0.00007410569,0.00002450082,0.000006943944,0.000008793602,0.0003859473,0.000001466171,0.0002718336],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6064785,"threshold_uncertainty_score":0.791678,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007836355297265047,"score_gpt":0.2696618496291051,"score_spread":0.26182549433184,"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."}}