{"id":"W2095390308","doi":"10.1006/abio.2000.4542","title":"Measurement of Phenyllactate, Phenylacetate, and Phenylpyruvate by Negative Ion Chemical Ionization–Gas Chromatography/Mass Spectrometry in Brain of Mouse Genetic Models of Phenylketonuria and Non-Phenylketonuria Hyperphenylalaninemia","year":2000,"lang":"en","type":"article","venue":"Analytical Biochemistry","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":43,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Children's Hospital","funders":"","keywords":"Hyperphenylalaninemia; Phenylacetate; Chemistry; Phenylalanine; Chemical ionization; Mass spectrometry; Phenylpyruvic acid; Gas chromatography–mass spectrometry; Phenylketonurias; Isotope dilution; Chromatography; Biochemistry; Endocrinology; Internal medicine; Amino acid; Ionization; Organic chemistry; Medicine; 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":[0.0001648226,0.0007677616,0.0004193594,0.001131899,0.0004796732,0.0004682683,0.0003313886,0.0004673633,0.0005995338],"category_scores_gemma":[0.0002090664,0.0003141503,0.0002757096,0.0004548253,0.0004835125,0.0004697492,0.0002134563,0.0008332255,0.0002477702],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004075292,"about_ca_system_score_gemma":0.0004209404,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002037881,"about_ca_topic_score_gemma":0.003346145,"domain_scores_codex":[0.9998596,0.000008363094,0.000007516315,0.00003616819,0.00005254422,0.00003575848],"domain_scores_gemma":[0.9997194,0.00004132637,0.0000577777,0.00001912111,0.00008203132,0.00008027632],"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":[0.0002547621,0.00001561319,0.0005465638,0.00002422483,0.00001585668,0.0000588895,0.00001632875,0.0000178002,0.9980122,0.00006661782,0.00004093966,0.0009303475],"study_design_scores_gemma":[0.00001163356,0.00008978658,0.01149099,0.000006397135,0.00005077129,0.0003074309,0.00003660997,0.0004320389,0.9867573,0.0001673526,0.0006419356,0.000007852314],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9683539,0.005734951,0.01906273,0.0003214596,0.0001299003,0.00004947155,0.003683697,0.0006021301,0.002061741],"genre_scores_gemma":[0.9633027,0.005380669,0.01978795,0.0003997777,0.00006147705,0.0002207437,0.004719874,0.0002771631,0.00584975],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002037881,"threshold_uncertainty_score":0.004052043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004567539726946477,"score_gpt":0.2065558513683541,"score_spread":0.2019883116414076,"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."}}