{"id":"W3212896352","doi":"10.33137/utjph.v2i2.37006","title":"Current diesel engine exhaust exposure in the Ontario construction industry","year":2021,"lang":"en","type":"article","venue":"University of Toronto Journal of Public Health","topic":"Air Quality and Health Impacts","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"World Wildlife Fund Canada; University of Calgary; Alberta Health Services; Occupational Cancer Research Centre; University of British Columbia; Public Health Ontario; Toronto Metropolitan University; University of Toronto","funders":"","keywords":"Occupational exposure limit; Diesel exhaust; Occupational exposure; Environmental science; Environmental health; Diesel engine; Exposure assessment; Diesel fuel; Inhalation exposure; Construction industry; Particulates; Toxicology; Waste management; Engineering; Environmental engineering; Medicine; Chemistry; Automotive engineering; Inhalation","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":[0.002014345,0.00006731472,0.0002019643,0.00002511855,0.0001487074,0.00001290232,0.0002470312,0.00008766224,0.00352049],"category_scores_gemma":[0.00008393382,0.00005915227,0.00005611842,0.0001014435,0.0001266393,0.0006189866,0.00006665484,0.0005733668,0.000003802378],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002248912,"about_ca_system_score_gemma":0.001098973,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.1021773,"about_ca_topic_score_gemma":0.4414858,"domain_scores_codex":[0.998571,0.0003928399,0.0002983686,0.0000927617,0.0003833572,0.0002616376],"domain_scores_gemma":[0.9990928,0.00005787108,0.0003814396,0.0001351005,0.00005090537,0.0002818447],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005409608,0.0007201359,0.5521472,0.0001081036,0.00002949051,0.00006941694,0.08889892,0.0002209604,0.00001134437,0.0009631844,0.0278875,0.3288896],"study_design_scores_gemma":[0.0005892307,0.0002109989,0.6591531,0.0000498976,0.000004738283,0.00007788654,0.02108336,0.00001579855,0.000002258057,0.00005759811,0.3187035,0.00005166252],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9629486,0.001398546,0.001496839,0.03039574,0.0003373489,0.0001068896,0.000007032619,0.000004245171,0.003304747],"genre_scores_gemma":[0.99268,0.001448055,0.004336072,0.001154205,0.00008973058,5.386335e-8,0.000004125767,0.00000392872,0.0002838832],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3393085,"threshold_uncertainty_score":0.9973904,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06874753082289976,"score_gpt":0.2881937730849595,"score_spread":0.2194462422620598,"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."}}