{"id":"W3139421153","doi":"10.1016/j.jmsacl.2021.03.001","title":"Analysis of 2-methylcitric acid, methylmalonic acid, and total homocysteine in dried blood spots by LC-MS/MS for application in the newborn screening laboratory: A dual derivatization approach","year":2021,"lang":"en","type":"article","venue":"Journal of Mass Spectrometry and Advances in the Clinical Lab","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"United Arab Emirates University","keywords":"Methylmalonic acid; Dried blood spot; Analyte; Derivatization; Newborn screening; Chemistry; Chromatography; Methylmalonic acidemia; Tandem mass spectrometry; Selected reaction monitoring; Protein precipitation; Homocysteine; Liquid chromatography–mass spectrometry; Methionine; Retention time; High-performance liquid chromatography; Mass spectrometry; Medicine; Amino acid; Biochemistry; Internal medicine","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":[0.001140938,0.0009940611,0.0006144848,0.001420487,0.0004033006,0.0008541421,0.0006054299,0.001095011,0.0009418507],"category_scores_gemma":[0.001189726,0.0005073323,0.0004661353,0.0006003856,0.0003501916,0.0003324597,0.000590847,0.0006279121,0.0008260557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005035534,"about_ca_system_score_gemma":0.001008861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002074055,"about_ca_topic_score_gemma":0.004738195,"domain_scores_codex":[0.9987574,0.0001959253,0.00009251082,0.000295744,0.0005785594,0.00007994249],"domain_scores_gemma":[0.9994809,0.00009150965,0.00007847992,0.00005466678,0.00023379,0.00006063406],"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":[0.0001594923,0.00005301381,0.002091225,0.0001263919,0.00005911451,0.0001992175,0.00003416571,0.0001241146,0.9826873,0.00008468627,0.0002188784,0.01416239],"study_design_scores_gemma":[0.00002810095,0.0004093112,0.01037277,0.00003294627,0.00009685194,0.002007911,0.00003613909,0.005069556,0.977557,0.00009380348,0.004244825,0.00005083313],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7506008,0.01520282,0.2171853,0.000751108,0.0004384921,0.001454493,0.004048224,0.004247917,0.006070844],"genre_scores_gemma":[0.6024142,0.006558611,0.3786334,0.001368539,0.0001452118,0.0007545311,0.002175341,0.0002334955,0.007716605],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002074055,"threshold_uncertainty_score":0.006033897,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01025095447071845,"score_gpt":0.3011703301282148,"score_spread":0.2909193756574964,"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."}}