{"id":"W1979364619","doi":"10.1021/ac8020455","title":"Newborn Screening of Inborn Errors of Metabolism by Capillary Electrophoresis−Electrospray Ionization-Mass Spectrometry: A Second-Tier Method with Improved Specificity and Sensitivity","year":2008,"lang":"en","type":"article","venue":"Analytical Chemistry","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Chemistry; Electrospray ionization; Chromatography; Derivatization; Capillary electrophoresis–mass spectrometry; Newborn screening; Mass spectrometry; Electrospray; Capillary electrophoresis; Extractive electrospray ionization; Dried blood spot; False positive paradox; Protein mass spectrometry; Biochemistry","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":[0.001987738,0.001501153,0.001116957,0.001704347,0.0002812562,0.0009065468,0.0008685957,0.001327386,0.0006066421],"category_scores_gemma":[0.002126402,0.0003781735,0.0004456038,0.0008030518,0.0005188835,0.0005473327,0.0008840633,0.0008417459,0.0005420857],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005702208,"about_ca_system_score_gemma":0.001090523,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001702666,"about_ca_topic_score_gemma":0.002767193,"domain_scores_codex":[0.9974766,0.0005349848,0.0001356141,0.0006506699,0.001043596,0.000158637],"domain_scores_gemma":[0.9987857,0.0003249703,0.0002263028,0.0001124235,0.0004155182,0.0001350195],"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":[0.0001942938,0.00006677875,0.004310683,0.0002459533,0.00007071164,0.0002278772,0.0000474534,0.0001554247,0.9616949,0.0003447397,0.0003526545,0.03228841],"study_design_scores_gemma":[0.00002611683,0.0004970014,0.01342306,0.0000390253,0.0001042681,0.003253357,0.00003036593,0.006328249,0.971875,0.0002630517,0.004087855,0.00007271762],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4342384,0.03084182,0.5230817,0.001071594,0.0005339448,0.0006732105,0.002050383,0.003765385,0.003743676],"genre_scores_gemma":[0.5498351,0.009603615,0.4336422,0.001331403,0.0001655278,0.0003899964,0.001214303,0.0001570393,0.003660889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001987738,"threshold_uncertainty_score":0.01051229,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004978684205703062,"score_gpt":0.2180801881518903,"score_spread":0.2131015039461873,"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."}}