{"id":"W3091898594","doi":"10.1093/jat/bkaa137","title":"Large Differences in Urinary Benzene Metabolite S-Phenylmercapturic Acid Quantitation: A Comparison of Five LC–MS-MS Methods","year":2020,"lang":"en","type":"article","venue":"Journal of Analytical Toxicology","topic":"Carcinogens and Genotoxicity Assessment","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Institut National de Santé Publique du Québec","funders":"National Cancer Institute; National Institute on Drug Abuse; National Institutes of Health","keywords":"Chemistry; Metabolite; Urine; Benzene; Chromatography; Biochemistry; Organic chemistry","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005755211,0.0001662377,0.0007854449,0.0001354464,0.00003299916,0.00001381514,0.0002704592,0.0002111245,0.0001252831],"category_scores_gemma":[0.0003647927,0.0001380104,0.0003000553,0.0002818898,0.000107908,0.000009171409,0.0001460998,0.0003015243,0.000002195571],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002263574,"about_ca_system_score_gemma":0.0001417484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006837193,"about_ca_topic_score_gemma":0.00002789517,"domain_scores_codex":[0.9980087,0.0004042203,0.0008518734,0.0002411437,0.0002177886,0.0002763033],"domain_scores_gemma":[0.998926,0.0001033958,0.0004266061,0.0001497371,0.0001996988,0.0001945014],"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":[0.001156033,0.00162008,0.05992192,0.00009426847,0.0006703357,0.00008651894,0.001193976,0.0004235053,0.9294609,0.002777675,0.0009723008,0.001622519],"study_design_scores_gemma":[0.006006726,0.01702018,0.4410349,0.00006653358,0.0008759773,0.0002417789,0.005187169,0.02616848,0.483478,0.001200974,0.01791418,0.0008050979],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9720958,0.003804326,0.0218523,0.001630606,0.0001422043,0.000103902,0.00002185832,0.000002279516,0.0003467094],"genre_scores_gemma":[0.9882946,0.0002174855,0.01057295,0.0006070277,0.0002477954,0.000002467884,0.00001025767,0.00001016806,0.00003726185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4459828,"threshold_uncertainty_score":0.5627902,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05746974518340255,"score_gpt":0.3888886720092462,"score_spread":0.3314189268258437,"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."}}