{"id":"W4390491204","doi":"10.1080/10962247.2023.2299424","title":"Assessment of waste workers occupational risk to microbial agents and cytotoxic effects of mixed contaminants present in the air of waste truck cabin and ventilation filters","year":2024,"lang":"en","type":"article","venue":"Journal of the Air & Waste Management Association","topic":"Indoor Air Quality and Microbial Exposure","field":"Environmental Science","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal; Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"Fundação para a Ciência e a Tecnologia; Ministério da Ciência, Tecnologia e Ensino Superior; Université de Montréal; Canada Excellence Research Chairs, Government of Canada; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Contamination; Truck; Waste management; Environmental science; Municipal solid waste; Environmental chemistry; Wastewater; Toxicology; Environmental engineering; Chemistry; Biology; Engineering; Ecology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001974662,0.0001220389,0.00025277,0.0001325341,0.00007170088,0.00002437203,0.0002349907,0.00006103025,0.00000929246],"category_scores_gemma":[0.0000659737,0.00008579593,0.0001297203,0.0003209706,0.00005519156,0.0002136508,0.0002017146,0.0001689286,9.523458e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003504219,"about_ca_system_score_gemma":0.00001820023,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001358362,"about_ca_topic_score_gemma":0.0001574134,"domain_scores_codex":[0.9979969,0.0004456516,0.0006315614,0.0001504526,0.000619262,0.0001562258],"domain_scores_gemma":[0.9987025,0.0002066296,0.0008883214,0.0001409085,0.000031638,0.00002998252],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003887519,0.0003779432,0.8455929,0.0009359794,0.0006275699,0.00001352187,0.00645003,0.05594881,0.07016911,0.0001342292,0.01137046,0.007990642],"study_design_scores_gemma":[0.001060953,0.0002180917,0.9773697,0.0005837427,0.0002257699,0.000002443599,0.001454168,0.001118012,0.01759591,0.0000792807,0.0002071877,0.00008475697],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997777,0.00004241577,0.0003595019,0.0005876218,0.000433187,0.0006621111,0.00002454042,0.000002106022,0.0001114865],"genre_scores_gemma":[0.9991643,0.00006269194,0.0003435997,0.000068497,0.00004469568,0.000006038092,0.000003604004,0.000007843852,0.0002986887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1317767,"threshold_uncertainty_score":0.3498656,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006558101145667849,"score_gpt":0.2463915177498458,"score_spread":0.2398334166041779,"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."}}