{"id":"W4379877839","doi":"10.1148/rg.220178","title":"US Quantification of Liver Fat: Past, Present, and Future","year":2023,"lang":"en","type":"article","venue":"Radiographics","topic":"Liver Disease Diagnosis and Treatment","field":"Medicine","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Montréal","funders":"Fonds de Recherche du Québec - Santé; Fondation de l'Association des radiologistes du Québec; American Roentgen Ray Society","keywords":"Medicine; Fatty liver; Steatosis; Liver disease; Modalities; Population; Disease; Intensive care medicine; Radiology; Pathology; Internal medicine; Environmental health","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0000567571,0.00007688053,0.0001412606,0.0002193723,0.00003881152,0.000008068545,0.00002992085,0.0000534012,0.00001756696],"category_scores_gemma":[0.000002915521,0.0000612571,0.00009922106,0.0005738185,0.00006501524,0.00003623866,0.00001480765,0.00004724372,0.000009281789],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005836494,"about_ca_system_score_gemma":0.00001123186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005415014,"about_ca_topic_score_gemma":0.000002788482,"domain_scores_codex":[0.9994392,0.00001965926,0.0001134884,0.0001578624,0.0001624816,0.0001072416],"domain_scores_gemma":[0.9995477,0.00004656734,0.00004425583,0.0002066968,0.00005748425,0.00009725486],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005067955,0.0003079953,0.9639415,0.000213574,0.0002944593,0.0000652276,0.0002697936,0.000002523144,0.0003380156,0.002587087,0.02015693,0.01177221],"study_design_scores_gemma":[0.00059989,0.0001040588,0.9650664,0.00003492232,0.0002633611,0.000006278079,0.00007859572,0.000278937,0.0005083329,0.00007432909,0.03293142,0.00005346564],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991393,0.004777618,0.00001104064,0.002917542,0.0001075856,0.0003295061,0.00004923485,0.00007044103,0.0003440459],"genre_scores_gemma":[0.9857439,0.01334594,0.00008798263,0.00005754973,0.0005438186,0.00002796297,0.0001173051,0.00001086553,0.00006468312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01277449,"threshold_uncertainty_score":0.2497992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02448377792812504,"score_gpt":0.274597802082055,"score_spread":0.2501140241539299,"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."}}