{"id":"W4281554647","doi":"10.1002/ana.26423","title":"Integrative Approach to Predict Severity in Nonketotic Hyperglycinemia","year":2022,"lang":"en","type":"article","venue":"Annals of Neurology","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"BC Children's Hospital; University of British Columbia","funders":"European Regional Development Fund; Instituto de Salud Carlos III; Ministerstvo Zdravotnictví Ceské Republiky","keywords":"Hyperglycinemia; Area under the curve; Internal medicine; Cerebrospinal fluid; Gastroenterology; Encephalopathy; Medicine; Glycine; Pediatrics; Biology; Amino acid; Genetics","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":[0.001151099,0.001392452,0.0007115337,0.002467972,0.0003014426,0.001103215,0.0005203781,0.0005139856,0.003041948],"category_scores_gemma":[0.002652858,0.0001796343,0.0007902922,0.001143045,0.0002193067,0.0003803342,0.0009076543,0.0004957625,0.001053018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003922436,"about_ca_system_score_gemma":0.0003826113,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001491898,"about_ca_topic_score_gemma":0.002003618,"domain_scores_codex":[0.999485,0.0001471425,0.00005713775,0.0001409327,0.0001158472,0.00005393421],"domain_scores_gemma":[0.9989027,0.0003037222,0.0002998716,0.00006612448,0.0002334338,0.0001942862],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001648913,0.0003107004,0.911041,0.0001803317,0.0005160974,0.0007885352,0.000213825,0.006943274,0.01291031,0.0002960848,0.001228671,0.06392238],"study_design_scores_gemma":[0.0001114944,0.001339117,0.8286182,0.0001433114,0.0006280922,0.002640912,0.0006106017,0.1510694,0.009123326,0.002308472,0.00332668,0.00008048501],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9678578,0.001047777,0.02285335,0.0002984824,0.00005418803,0.0001867864,0.002570587,0.0006951125,0.004435814],"genre_scores_gemma":[0.9837546,0.000240948,0.01323787,0.00004329272,0.000033215,0.00007042627,0.00198266,0.00003550901,0.0006015887],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003041948,"threshold_uncertainty_score":0.01017636,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02193655452365291,"score_gpt":0.272659757592829,"score_spread":0.2507232030691761,"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."}}