{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002924272,0.0001161727,0.0002528616,0.000177588,0.00006045388,0.00001338157,0.00005697173,0.0000490714,0.000002758964],"category_scores_gemma":[0.0002523938,0.0001084053,0.00006437286,0.0008131585,0.00003833914,0.00000399951,0.00008951007,0.00004129843,5.151517e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001282188,"about_ca_system_score_gemma":0.00001039805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006446534,"about_ca_topic_score_gemma":0.000007590574,"domain_scores_codex":[0.9992096,0.00006585107,0.0002000037,0.0002815184,0.00009504924,0.0001479608],"domain_scores_gemma":[0.9995512,0.00004824491,0.00008919575,0.0001615083,0.00008945738,0.00006037089],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.000025156,0.00005301618,0.05474348,0.0001063798,0.000329136,0.000003920512,0.0001045298,0.0001397641,0.9362191,0.00003322622,0.00005445446,0.008187818],"study_design_scores_gemma":[0.002016649,0.0002595366,0.492014,0.00005496479,0.002625155,0.00001700027,0.0003292793,0.07766123,0.4217329,0.0003056094,0.002311849,0.0006718979],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9924871,0.006971967,0.00003871039,0.00008586359,0.00002172363,0.00006845687,0.00003801264,0.00002315059,0.0002649857],"genre_scores_gemma":[0.9971935,0.001353275,0.0005645048,0.00002799505,0.0001257258,0.00001047596,0.0001858473,0.00001048617,0.0005281697],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5144863,"threshold_uncertainty_score":0.4420641,"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."}}