{"id":"W4389323263","doi":"10.1002/dta.3616","title":"Carbon isotope ratios of phenethylamine and its urinary metabolite phenylacetylglutamine","year":2023,"lang":"en","type":"article","venue":"Drug Testing and Analysis","topic":"Muscle metabolism and nutrition","field":"Biochemistry, Genetics and Molecular Biology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium des Innern, für Bau und Heimat; World Anti-Doping Agency","keywords":"Metabolite; Chemistry; Chromatography; Population; Urine; Derivatization; High-performance liquid chromatography; Biochemistry; Medicine","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":[0.0008969897,0.0005060153,0.0003680761,0.001887617,0.0002949091,0.0006395104,0.0005679086,0.0007879692,0.001074248],"category_scores_gemma":[0.00225483,0.0002933709,0.000389151,0.001196673,0.0004591293,0.0002500511,0.0003311959,0.0005586887,0.0004772671],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003731033,"about_ca_system_score_gemma":0.0004182914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003206559,"about_ca_topic_score_gemma":0.003410522,"domain_scores_codex":[0.9985739,0.0002928703,0.00005839869,0.0004026149,0.000564488,0.0001077233],"domain_scores_gemma":[0.9992192,0.0001896973,0.0001754236,0.00007862918,0.0002746932,0.00006239954],"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":[0.002853901,0.000255785,0.1032361,0.0003985124,0.0005329156,0.0007010157,0.0004474971,0.0006113009,0.8285543,0.0005077905,0.0007335191,0.06116743],"study_design_scores_gemma":[0.00003998987,0.002588635,0.3079416,0.00008507188,0.0003949038,0.003603301,0.0003454852,0.006096349,0.6709805,0.0004202471,0.007405066,0.00009899626],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9547473,0.008805123,0.02862521,0.000113384,0.000163668,0.0001395618,0.002693273,0.000340346,0.004372183],"genre_scores_gemma":[0.9773441,0.002012938,0.01687463,0.0001816989,0.00004625821,0.0001083436,0.001306684,0.000073572,0.002051831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003206559,"threshold_uncertainty_score":0.00637579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01460556001300322,"score_gpt":0.2440182613624999,"score_spread":0.2294127013494967,"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."}}