{"id":"W7463591","doi":"10.71781/814","title":"Étude de l’impact de la charge de travail sur les indicateurs biologiques d’exposition de l’acétone et du styrène par la modélisation toxicocinétique","year":2010,"lang":"fr","type":"dissertation","venue":"The Journal of Urology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Agence Française de Sécurité Sanitaire de l'Environnement et du Travail; Institut de Recherche Robert-Sauvé en Santé et en Sécurité du Travail","keywords":"Styrene; Acetone; Urine; Chemistry; Workload; Creatinine; Chromatography; Biochemistry; Organic chemistry","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003118377,0.0007745355,0.0006531731,0.0002898379,0.0003019454,0.0008471924,0.0005201088,0.0008233917,0.00208424],"category_scores_gemma":[0.0007660898,0.0003013185,0.001012206,0.0003862795,0.0003359977,0.0005352808,0.0003849445,0.0007837767,0.0002995572],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006308309,"about_ca_system_score_gemma":0.0008376505,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01767635,"about_ca_topic_score_gemma":0.0110639,"domain_scores_codex":[0.9997858,0.00003651559,0.00001112272,0.00005920021,0.00007296828,0.00003442441],"domain_scores_gemma":[0.9994704,0.0002654215,0.00005900379,0.00004228384,0.0001432431,0.00001966655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0008210194,0.0005742086,0.01844482,0.000872479,0.0002419935,0.0002817145,0.0003015897,0.6432446,0.3123001,0.00172199,0.0005685061,0.02062692],"study_design_scores_gemma":[0.00007456806,0.001330118,0.01586284,0.00004357933,0.0001971798,0.00007458122,0.0002448476,0.8319154,0.1448286,0.0007291871,0.004616998,0.00008209162],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9799054,0.0007314169,0.01467629,0.000127002,0.00006291677,0.00005109076,0.0007666908,0.0001586695,0.003520467],"genre_scores_gemma":[0.9896849,0.000786691,0.005261485,0.0000342222,0.000007295192,0.00009385672,0.0005821161,0.00004584046,0.003503558],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01767635,"threshold_uncertainty_score":0.03514695,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008488407105800407,"score_gpt":0.2828216161212277,"score_spread":0.2743332090154273,"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."}}