{"id":"W2007671346","doi":"10.1007/s00216-010-4601-z","title":"Liquid chromatography–tandem mass spectrometry (LC/APCI-MS/MS) methods for the quantification of captan and folpet phthalimide metabolites in human plasma and urine","year":2011,"lang":"en","type":"article","venue":"Analytical and Bioanalytical Chemistry","topic":"Pesticide Exposure and Toxicity","field":"Agricultural and Biological Sciences","cited_by":24,"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; Chromatography; Captan; Atmospheric-pressure chemical ionization; Mass spectrometry; Detection limit; Liquid chromatography–mass spectrometry; Tandem mass spectrometry; Extraction (chemistry); Urine; Chemical ionization; Fungicide; Ionization; Organic chemistry; Ion","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":[0.001500247,0.001190396,0.0006073085,0.001972812,0.001185625,0.0006438234,0.001200175,0.001488099,0.001530518],"category_scores_gemma":[0.002043128,0.0006811429,0.000540978,0.001042911,0.000914689,0.0006797564,0.0006427848,0.001490814,0.0009542547],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001223331,"about_ca_system_score_gemma":0.00161042,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00260237,"about_ca_topic_score_gemma":0.005994476,"domain_scores_codex":[0.9982823,0.0003007599,0.000106001,0.0003714758,0.0008560346,0.00008345829],"domain_scores_gemma":[0.9992573,0.0001915052,0.0001327992,0.00006658277,0.0002726264,0.00007910279],"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":[0.00137311,0.0003625946,0.008619091,0.0004184402,0.0001991145,0.0004178675,0.0001728293,0.000649367,0.9012286,0.000666801,0.001436804,0.08445536],"study_design_scores_gemma":[0.0001066479,0.001216875,0.02027266,0.00005159074,0.000184712,0.004288308,0.00008314433,0.008634849,0.9559311,0.0004594299,0.008682357,0.00008837174],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6456956,0.0391444,0.2894588,0.001777821,0.0007233277,0.001495374,0.0042156,0.004375253,0.01311386],"genre_scores_gemma":[0.8093374,0.01272137,0.1592459,0.002924767,0.0003183632,0.001270153,0.002913492,0.0001985788,0.0110698],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00260237,"threshold_uncertainty_score":0.008875906,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04392028507964832,"score_gpt":0.293599734426717,"score_spread":0.2496794493470687,"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."}}