{"id":"W4381848990","doi":"10.1002/rcm.9595","title":"Ultrahigh‐performance liquid chromatography–tandem mass spectrometry quantitation of <i>o</i> ‐cresol in hydrolyzed human urine to assess toluene exposure","year":2023,"lang":"en","type":"article","venue":"Rapid Communications in Mass Spectrometry","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut de recherche Robert-Sauvé en santé et en sécurité du travail","funders":"","keywords":"Chemistry; Hippuric acid; Chromatography; Toluene; Dansyl chloride; Urine; Hydrolysis; Derivatization; Liquid chromatography–mass spectrometry; Mass spectrometry; Chloride; Organic chemistry; Biochemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001086813,0.0009593835,0.0005395092,0.001342861,0.0005284089,0.0006838826,0.000763061,0.001390254,0.0009827305],"category_scores_gemma":[0.001479433,0.0003502429,0.000550302,0.0007945116,0.0007798245,0.000373256,0.0003607933,0.0006530987,0.0007183381],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006802208,"about_ca_system_score_gemma":0.001233967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003053114,"about_ca_topic_score_gemma":0.005849498,"domain_scores_codex":[0.9982224,0.0003538207,0.0001054206,0.0003623426,0.0008086968,0.0001473036],"domain_scores_gemma":[0.9993606,0.0001230819,0.0001743275,0.00004073643,0.0002340409,0.00006715098],"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":[0.0002499497,0.0001865774,0.004692205,0.0002242732,0.00005832522,0.0001463246,0.00004353004,0.0002728341,0.9860897,0.0001036769,0.0002812887,0.007651323],"study_design_scores_gemma":[0.00003441479,0.000691629,0.0209098,0.00007943621,0.00008195247,0.001020556,0.00006730639,0.00512992,0.9679597,0.0001640472,0.003801267,0.0000600263],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7742453,0.02113938,0.1900437,0.0008888442,0.0004710237,0.001420181,0.003564839,0.001840211,0.006386466],"genre_scores_gemma":[0.8494407,0.007800794,0.1293985,0.002391937,0.0001548539,0.001069523,0.003087654,0.0001644823,0.006491623],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003053114,"threshold_uncertainty_score":0.006070673,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0301921447176384,"score_gpt":0.3111551441520161,"score_spread":0.2809629994343777,"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."}}