{"id":"W2371833694","doi":"10.1016/j.cgh.2016.04.040","title":"A Model to Identify Sarcopenia in Patients With Cirrhosis","year":2016,"lang":"en","type":"article","venue":"Clinical Gastroenterology and Hepatology","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":413,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo; University of Calgary; University of Alberta","funders":"","keywords":"Sarcopenia; Medicine; Body mass index; Magnetic resonance imaging; Cirrhosis; Internal medicine; Quantitative computed tomography; Cross-sectional study; Radiology; Pathology; Bone density; Osteoporosis","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":[0.00032172,0.0001087484,0.0005121611,0.0001444464,0.00003516452,0.000002891638,0.00006440329,0.0001570195,0.00008342098],"category_scores_gemma":[0.0001086906,0.00006951341,0.00004114888,0.00005419234,0.0002344611,0.00003919733,0.00007107655,0.0002276143,0.00005419946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002874794,"about_ca_system_score_gemma":0.00004191548,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006147252,"about_ca_topic_score_gemma":0.000200855,"domain_scores_codex":[0.9985218,0.0001417631,0.0005094302,0.0003746833,0.00006973299,0.0003825964],"domain_scores_gemma":[0.999235,0.0001350802,0.00007125238,0.0001859348,0.00006971154,0.0003030395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005504521,0.0003523281,0.9905512,0.00002354264,0.00001941381,0.00002323645,0.00001932176,1.897057e-7,0.00001842584,0.0001414872,0.001246183,0.002100149],"study_design_scores_gemma":[0.009889706,0.002686679,0.9862059,0.0001106245,0.0000257579,0.00002726038,0.000004528807,0.00008555652,0.000002408519,0.0003410084,0.0005721137,0.00004848078],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749047,0.00001562999,0.001484095,0.02305656,0.0001216173,0.0003015155,0.000007751853,0.00002348643,0.00008464802],"genre_scores_gemma":[0.97202,0.00006568046,0.002814811,0.02494717,0.00003494689,0.00003206162,0.000004443312,0.00001114542,0.00006978364],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004385186,"threshold_uncertainty_score":0.2834674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07281357858941831,"score_gpt":0.4108820253890783,"score_spread":0.33806844679966,"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."}}