{"id":"W2032091888","doi":"10.1007/s00216-011-4753-5","title":"Gas-chromatography mass-spectrometry determination of phthalic acid in human urine as a biomarker of folpet exposure","year":2011,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Effects and risks of endocrine disrupting chemicals","field":"Environmental Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"Agence Nationale de Sécurité Sanitaire de l’Alimentation, de l’Environnement et du Travail","keywords":"Chemistry; Urine; Chromatography; Phthalic acid; Metabolite; Gas chromatography–mass spectrometry; Biomonitoring; BSTFA; Detection limit; Mass spectrometry; Gas chromatography; Gas Chromatography/Tandem Mass Spectrometry; Environmental chemistry; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0004126295,0.0004969517,0.0003411524,0.001333985,0.0007044247,0.0003021219,0.0004086371,0.001167382,0.001076408],"category_scores_gemma":[0.0009410484,0.0002247817,0.0003714401,0.0007552998,0.0004521559,0.0002972505,0.0003592308,0.0004628779,0.0004147484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003299636,"about_ca_system_score_gemma":0.0006328027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002744466,"about_ca_topic_score_gemma":0.002993318,"domain_scores_codex":[0.999553,0.0001329153,0.00001990279,0.0001028491,0.000141996,0.00004928506],"domain_scores_gemma":[0.9996901,0.0001112413,0.00004933354,0.00001731524,0.00008182389,0.00005018086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002046624,0.000330617,0.05288902,0.000144035,0.0002017591,0.0004930879,0.0002801129,0.0004772602,0.924678,0.0003190398,0.0005822192,0.01755831],"study_design_scores_gemma":[0.00007146216,0.00117501,0.08994538,0.0000371613,0.0001788566,0.002331828,0.0002159465,0.004833177,0.8967656,0.0004065348,0.003997604,0.00004141157],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9675463,0.00479847,0.02132558,0.0004054507,0.0002160466,0.0001528316,0.001919984,0.0004243336,0.00321098],"genre_scores_gemma":[0.9849828,0.00123851,0.009206136,0.0005485985,0.00006222109,0.0001424657,0.0008615811,0.00002815971,0.002929486],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002744466,"threshold_uncertainty_score":0.005457044,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143702720653099,"score_gpt":0.2990562229366623,"score_spread":0.2846859508713524,"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."}}