{"id":"W2794428098","doi":"10.1002/jpen.1067","title":"Influence of Contrast Administration on Computed Tomography–Based Analysis of Visceral Adipose and Skeletal Muscle Tissue in Clear Cell Renal Cell Carcinoma","year":2018,"lang":"en","type":"article","venue":"Journal of Parenteral and Enteral Nutrition","topic":"Renal cell carcinoma treatment","field":"Medicine","cited_by":58,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"National Cancer Institute","keywords":"Hounsfield scale; Medicine; Adipose tissue; Skeletal muscle; Renal cell carcinoma; Body mass index; Nuclear medicine; Internal medicine; Computed tomography; Radiology","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004811099,0.0001354686,0.0002634849,0.000385812,0.00009496831,0.0004105105,0.0001454659,0.0001608854,0.0004879231],"category_scores_gemma":[0.002901651,0.0001231731,0.000180671,0.0003242132,0.0002104341,0.0002021345,0.0001349092,0.0001894459,0.00007749243],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002928997,"about_ca_system_score_gemma":0.0001820879,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001097267,"about_ca_topic_score_gemma":0.001348299,"domain_scores_codex":[0.9997341,0.0001229295,0.00003137683,0.00003192259,0.0000546046,0.00002506213],"domain_scores_gemma":[0.9984621,0.0007455802,0.000455276,0.00006398339,0.0001475927,0.0001254952],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.004884857,0.00010316,0.945588,0.00006405396,0.0001094681,0.0007331978,0.00007914958,0.000462869,0.0350282,0.00002817671,0.00006532478,0.01285353],"study_design_scores_gemma":[0.00002238635,0.0006513306,0.9885861,0.000004992236,0.00007969157,0.001179646,0.00005760918,0.001041098,0.008158864,0.00002002891,0.0001921466,0.000006137329],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991002,0.000557431,0.0001193971,0.00001087392,0.000001720739,0.000003897288,0.00002681034,0.000002366211,0.0001772984],"genre_scores_gemma":[0.9997161,0.0000769936,0.0001295138,0.000008408129,0.000003208192,0.000002258683,0.00003161743,0.00000154015,0.00003035276],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001097267,"threshold_uncertainty_score":0.002544403,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01042578136338274,"score_gpt":0.2522279160876653,"score_spread":0.2418021347242825,"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."}}