{"id":"W2574441988","doi":"10.1016/j.shaw.2016.12.001","title":"Cancer Risks among Welders and Occasional Welders in a National Population-Based Cohort Study: Canadian Census Health and Environmental Cohort","year":2017,"lang":"en","type":"article","venue":"Safety and Health at Work","topic":"Occupational exposure and asthma","field":"Medicine","cited_by":47,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Wildlife Fund Canada; Simon Fraser University; Statistics Canada; University of New Brunswick; University of Toronto; Toronto Metropolitan University; Public Health Ontario; Cancer Care Ontario; Occupational Cancer Research Centre","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Mesothelioma; Cancer registry; Lung cancer; Bladder cancer; Asbestos; Cohort; Population; Hazard ratio; Cancer; Kidney cancer; Cohort study; Internal medicine; Environmental health; Confidence interval; Pathology","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":[0.0007243048,0.0003717504,0.0004891621,0.001185629,0.001324538,0.0007569931,0.0009896962,0.0004864033,0.001293749],"category_scores_gemma":[0.001301234,0.0004887233,0.0006501696,0.002838608,0.000285421,0.0002709218,0.0005025869,0.0006319104,0.0001646034],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006299261,"about_ca_system_score_gemma":0.008841331,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9603468,"about_ca_topic_score_gemma":0.9724664,"domain_scores_codex":[0.9994639,0.00002862872,0.00002529369,0.0001447304,0.0002027381,0.0001347724],"domain_scores_gemma":[0.9992294,0.00003355279,0.0001508411,0.00007033299,0.0003352373,0.0001806591],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001370009,0.00002797683,0.9942953,0.00005033986,0.0002258907,0.0000896831,0.0002582436,0.0001030967,0.0002896218,0.00008325667,0.002578297,0.001861346],"study_design_scores_gemma":[0.00001612776,0.00001148478,0.9988447,0.00001769429,0.00005803262,0.00003857431,0.0001324883,0.0001305112,0.00002133621,0.00001825167,0.0007037537,0.000007029703],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9713086,0.001808253,0.0002734055,0.000311053,0.0000328915,0.0001095029,0.02436209,0.00001901877,0.001775206],"genre_scores_gemma":[0.9872704,0.001016355,0.0003757828,0.0001478878,0.000009812341,0.00008582592,0.009789031,0.000008252173,0.001296757],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03965324,"threshold_uncertainty_score":0.07977349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540793443270833,"score_gpt":0.3456745965702471,"score_spread":0.3102666621375388,"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."}}