{"id":"W1993880563","doi":"10.1038/gim.2014.148","title":"Blood ammonia and glutamine as predictors of hyperammonemic crises in patients with urea cycle disorder","year":2014,"lang":"en","type":"article","venue":"Genetics in Medicine","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":42,"is_retracted":false,"has_abstract":true,"ca_institutions":"SickKids Foundation; Hospital for Sick Children; University of Toronto","funders":"National Center for Advancing Translational Sciences; National Center for Research Resources; Eunice Kennedy Shriver National Institute of Child Health and Human Development; National Institute of Diabetes and Digestive and Kidney Diseases; Doris Duke Charitable Foundation","keywords":"Hyperammonemia; Urea cycle; Ammonia; Internal medicine; Medicine; Urea; Glutamine; Endocrinology; Chemistry; Amino acid; Biochemistry; Arginine","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":[0.0003317154,0.000315686,0.0003593784,0.0006120364,0.0003453367,0.0004929451,0.0002296144,0.0004410702,0.001250694],"category_scores_gemma":[0.002061994,0.0001742947,0.0003191476,0.0005685401,0.0002627604,0.0003981939,0.0003518791,0.0006744183,0.0002039825],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001772119,"about_ca_system_score_gemma":0.0002799082,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001573697,"about_ca_topic_score_gemma":0.001709229,"domain_scores_codex":[0.9998106,0.00005034348,0.00003123964,0.00003578276,0.0000361588,0.00003591842],"domain_scores_gemma":[0.9986749,0.0003926512,0.0004667823,0.00003797673,0.00009257907,0.0003349334],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000085516,0.000009878768,0.9993278,0.000002594465,0.00001061976,0.00009664473,0.000008632025,0.00002450705,0.00006845874,0.000002878018,0.00001669614,0.0003458701],"study_design_scores_gemma":[0.000009961627,0.0001467269,0.9977836,0.000007186157,0.00002719201,0.001216198,0.000114062,0.0004792037,0.00008745762,0.00002453905,0.0001003179,0.000003581267],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991348,0.000476557,0.0000526855,0.00004066374,0.000005891817,0.000003074096,0.00006476283,0.000003126078,0.0002183928],"genre_scores_gemma":[0.9997389,0.00007783686,0.00004252363,0.00001369329,0.000008645472,0.000001697484,0.00007615714,7.653421e-7,0.00003967802],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001573697,"threshold_uncertainty_score":0.004183948,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.002768542406241259,"score_gpt":0.2106795292235873,"score_spread":0.207910986817346,"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."}}