{"id":"W2769296020","doi":"10.1016/j.fct.2017.11.031","title":"Assessment of workers’ exposure to microorganisms when using biological degreasing stations","year":2017,"lang":"en","type":"article","venue":"Food and Chemical Toxicology","topic":"Bacillus and Francisella bacterial research","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":false,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail; Université de Montréal","funders":"Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Degreasing; Microorganism; Occupational exposure; Environmental science; Exposure assessment; Environmental health; Environmental chemistry; Biology; Medicine; Chemistry; Bacteria; Biochemistry","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005890292,0.0006294693,0.000366515,0.0006606178,0.0005696301,0.0006768165,0.0003285138,0.000834161,0.001341451],"category_scores_gemma":[0.00171615,0.0002575763,0.0005285005,0.0004594793,0.0003429783,0.0003153148,0.000635385,0.0004379055,0.0005231231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003284612,"about_ca_system_score_gemma":0.0003906134,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004373786,"about_ca_topic_score_gemma":0.005375117,"domain_scores_codex":[0.9983723,0.000290727,0.0001125531,0.0002663567,0.0007627272,0.000195332],"domain_scores_gemma":[0.9984729,0.0002996931,0.0005151904,0.0000967812,0.0004826722,0.0001328052],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001595257,0.0004344654,0.6768208,0.0002623189,0.0001602732,0.0004979179,0.002443758,0.0005314689,0.2852335,0.00005639893,0.0002416295,0.03172212],"study_design_scores_gemma":[0.000008059615,0.003963831,0.8928609,0.00005580132,0.0001647303,0.0005014409,0.003986754,0.0007035379,0.09588061,0.00009844199,0.001740487,0.00003539362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9960918,0.0002825907,0.001991977,0.00004481895,0.00002018163,0.00004234491,0.0002491858,0.00001766266,0.001259421],"genre_scores_gemma":[0.9958465,0.0002209845,0.00161545,0.00004352236,0.00001451478,0.00003402891,0.0002428413,0.000007033604,0.001975292],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004373786,"threshold_uncertainty_score":0.008696675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05300328633624792,"score_gpt":0.3354782293720533,"score_spread":0.2824749430358054,"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."}}