{"id":"W4417138348","doi":"10.3350/cmh.2025.1267","title":"Optimized MASH treatment eligibility cutoffs for MRE-measured liver stiffness and proton density fat fraction","year":2025,"lang":"en","type":"article","venue":"Clinical and Molecular Hepatology","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Sonic Incytes; National Center for Advancing Translational Sciences; National Institute of Biomedical Imaging and Bioengineering; National Institutes of Health; Siemens; Novo Nordisk; Intercept Pharmaceuticals; Madrigal Pharmaceuticals; Regeneron Pharmaceuticals; Gilead Sciences; Arrowhead Pharmaceuticals; Merck; Bristol-Myers Squibb; Eli Lilly and Company; AstraZeneca; National Heart, Lung, and Blood Institute; NGM Biopharmaceuticals; Pfizer; Inventiva Pharma; Galectin Therapeutics; National Institute of Diabetes and Digestive and Kidney Diseases; Amgen","keywords":"Stiffness; Proton; Fatty liver; Adipose tissue","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":[0.002493691,0.0005626107,0.001010814,0.001221819,0.0005299642,0.00143007,0.0005759145,0.0008712503,0.003095413],"category_scores_gemma":[0.00715112,0.0002536814,0.0007009069,0.0005115921,0.0003576383,0.0004596859,0.0007441144,0.001204737,0.0008289049],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007723446,"about_ca_system_score_gemma":0.001418006,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002021829,"about_ca_topic_score_gemma":0.00273899,"domain_scores_codex":[0.9990022,0.000388784,0.00009880791,0.0001419167,0.0002216818,0.0001466698],"domain_scores_gemma":[0.9979993,0.0009984061,0.0002722245,0.0001048573,0.0004273615,0.0001979152],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01536924,0.001477624,0.3786873,0.0005097273,0.0006407403,0.0009459663,0.000518497,0.01626038,0.03502806,0.00771443,0.02582606,0.517022],"study_design_scores_gemma":[0.001427573,0.003222655,0.744987,0.0007801012,0.001679992,0.003191325,0.001053334,0.1511078,0.04127911,0.01833578,0.03266724,0.0002681383],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8562982,0.006966801,0.100343,0.004531733,0.0005803755,0.0007172247,0.002349174,0.002186301,0.02602706],"genre_scores_gemma":[0.9663267,0.0002643696,0.0299219,0.0006772653,0.0001264571,0.0002465089,0.0008640029,0.0001488603,0.001424053],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003095413,"threshold_uncertainty_score":0.01318806,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04243640188193786,"score_gpt":0.3853938234743923,"score_spread":0.3429574215924544,"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."}}