{"id":"W4406664563","doi":"10.1148/rg.240053","title":"Congenital Inborn Errors of Metabolism: Clinical and Imaging Pearls","year":2025,"lang":"en","type":"article","venue":"Radiographics","topic":"Metabolism and Genetic Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children","funders":"","keywords":"Medicine; Inborn error of metabolism; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003581767,0.0001240402,0.0002323629,0.00014845,0.00004533622,0.00001458882,0.0001543432,0.000107532,0.00000581013],"category_scores_gemma":[0.0001177828,0.0001200226,0.0001664932,0.0002895498,0.000468493,0.000002935738,0.00009890334,0.00009356881,5.305367e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":2.767452e-7,"about_ca_system_score_gemma":0.00006286321,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002147592,"about_ca_topic_score_gemma":0.0000227922,"domain_scores_codex":[0.9990443,0.00009132057,0.0003170661,0.000290087,0.00009036403,0.000166869],"domain_scores_gemma":[0.9994571,0.00002242592,0.00006794483,0.0003048597,0.00007928864,0.00006838029],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001639152,0.0001397725,0.9333821,0.00006165544,0.0004831827,0.000002676314,0.00007418935,0.000006521916,0.02082914,0.006941471,0.006250317,0.03166507],"study_design_scores_gemma":[0.001902688,0.00006068394,0.80258,0.00001820634,0.0003045481,0.000008000166,0.0003443607,0.0001180846,0.00770116,0.001410508,0.1852592,0.0002925817],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9650894,0.0303843,0.00130559,0.0001944157,0.0004307662,0.0001318531,0.00002398668,0.000008568531,0.002431118],"genre_scores_gemma":[0.9924425,0.005699456,0.001137755,0.0003818583,0.00007718598,0.000006024506,0.00002584964,0.00001086976,0.0002185347],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1790089,"threshold_uncertainty_score":0.4894379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007303603065366569,"score_gpt":0.2870552439508466,"score_spread":0.27975164088548,"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."}}