{"id":"W2089012355","doi":"10.1179/oeh.2000.6.3.194","title":"Cancer Mortality among Males in Relation to Exposures Assessed through a Job-exposure Matrix","year":2000,"lang":"en","type":"article","venue":"International Journal of Occupational and Environmental Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Health Canada","funders":"","keywords":"Poisson regression; Medicine; Demography; Lung cancer; Job-exposure matrix; Relative risk; Cancer; Prostate cancer; Environmental health; Workforce; Occupational exposure; Oncology; Population; Confidence interval; Internal medicine","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0005842351,0.0001341794,0.0002050026,0.00007272248,0.000105183,0.00003067056,0.0001932047,0.0000666429,0.004291724],"category_scores_gemma":[0.0000192512,0.0001221133,0.0000527829,0.00008389931,0.0001118474,0.0007096727,0.00005271117,0.0002043948,0.00006146589],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007156697,"about_ca_system_score_gemma":0.00007253295,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003020901,"about_ca_topic_score_gemma":0.001193764,"domain_scores_codex":[0.9979099,0.0001265649,0.000724248,0.0001966175,0.0008135979,0.0002290574],"domain_scores_gemma":[0.9993117,0.0000651455,0.0002978215,0.00007964156,0.000009032994,0.0002366697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003434542,0.0001803927,0.9688071,0.000009577388,0.00002126369,0.00001359196,0.001417693,0.01002228,0.00007346328,0.00008478727,0.0009990267,0.01802737],"study_design_scores_gemma":[0.0006540847,0.0002175198,0.9925835,0.000072599,0.000004784358,0.00003176386,0.000153917,0.0004035776,0.00002365319,0.0005494236,0.005194647,0.000110594],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9939638,0.0002544109,0.0003478835,0.004603882,0.0001821817,0.0001767232,0.00009751324,0.000005662508,0.0003678972],"genre_scores_gemma":[0.9926525,0.001061961,0.002002146,0.003822187,0.0001597671,0.0000097497,0.00002875548,0.000009454463,0.0002534863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02377634,"threshold_uncertainty_score":0.9966185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0538966905731804,"score_gpt":0.3965730034456125,"score_spread":0.3426763128724321,"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."}}