{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001166931,0.0001795399,0.0005244239,0.0004720537,0.00002913956,0.00003272155,0.00004723543,0.00006391911,0.00005821044],"category_scores_gemma":[0.0001042298,0.0001322608,0.0001056411,0.0008570552,0.00009659716,0.00007406321,0.00005606071,0.000120275,0.000008511824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004601432,"about_ca_system_score_gemma":0.00003123239,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003525862,"about_ca_topic_score_gemma":0.0003772011,"domain_scores_codex":[0.9988126,0.00006748107,0.0003062664,0.0004132779,0.0002051102,0.0001953231],"domain_scores_gemma":[0.9993498,0.0001457916,0.00006748522,0.0001847824,0.00009319541,0.0001589926],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002022055,0.0003520039,0.9910811,0.00005499203,0.003694412,0.00003927394,0.001588617,0.000002359723,0.00002228173,0.0002842816,0.000154872,0.002523627],"study_design_scores_gemma":[0.002155871,0.0003314544,0.9888908,0.0003400434,0.006309039,0.00001626308,0.0002490969,0.001264823,0.0002986426,0.0000125036,0.000002572775,0.0001289238],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9642736,0.0344485,0.00002685609,0.0001195369,0.00003228035,0.0006542868,0.0003429153,0.0000344368,0.0000676105],"genre_scores_gemma":[0.9940831,0.005287291,0.0001675404,0.00005750354,0.00001832026,0.0000429601,0.0002861888,0.00001365093,0.00004341188],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02980956,"threshold_uncertainty_score":0.5393439,"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."}}