{"id":"W4403402078","doi":"10.3390/children11101230","title":"Reference Range of Quantitative MRI Metrics Corrected T1 and Liver Fat Content in Children and Young Adults: Pooled Participant Analysis","year":2024,"lang":"en","type":"article","venue":"Children","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología, Guatemala; Eurostars; Medical Research Council Canada; Consejo Nacional de Ciencia y Tecnología","keywords":"Medicine; Percentile; Reference range; Young adult; Cohort; Ethnic group; Reference values; Population; Pediatrics; Demography; Internal medicine; Environmental health","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01104159,0.0006854394,0.00124948,0.001941815,0.0005691259,0.0009241623,0.0008448806,0.0008989585,0.001816687],"category_scores_gemma":[0.01972212,0.0003979207,0.001363538,0.001438979,0.0004355824,0.0005775547,0.001127837,0.0003767641,0.000445274],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004371631,"about_ca_system_score_gemma":0.0004129841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002987532,"about_ca_topic_score_gemma":0.002479828,"domain_scores_codex":[0.9929698,0.002351678,0.001154232,0.002215337,0.001034399,0.0002745345],"domain_scores_gemma":[0.9893496,0.002833633,0.003431576,0.001908033,0.002268103,0.0002090428],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002768154,0.00005313262,0.9796362,0.0004530152,0.003295859,0.0002735699,0.0008876071,0.0002544547,0.002621371,0.0001662271,0.0009817315,0.00860856],"study_design_scores_gemma":[0.00008115384,0.0009598921,0.990961,0.0001371206,0.00176532,0.001117327,0.0006302328,0.0004335312,0.0009987821,0.0001225852,0.002763398,0.00002967385],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9763311,0.004594097,0.008279638,0.00006270396,0.00004070744,0.0004474065,0.008535312,0.00009317431,0.001615826],"genre_scores_gemma":[0.9913183,0.0003874864,0.00235637,0.00005457554,0.00002933555,0.0007274548,0.00480942,0.00004084736,0.0002762426],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01104159,"threshold_uncertainty_score":0.05839413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04303476384154093,"score_gpt":0.2886051722573578,"score_spread":0.2455704084158169,"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."}}