{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001221439,0.0001586686,0.0005288277,0.0006859432,0.00002865977,0.00001635315,0.00005138489,0.00006279982,0.00001773838],"category_scores_gemma":[0.000006872212,0.0001293852,0.000177434,0.0003344617,0.0001261871,0.0001371963,0.00001413987,0.0001439288,3.805198e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004640507,"about_ca_system_score_gemma":0.00002940987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008781535,"about_ca_topic_score_gemma":0.00005237171,"domain_scores_codex":[0.9986349,0.00008968437,0.0006756121,0.0001718468,0.0002770314,0.0001508734],"domain_scores_gemma":[0.9990223,0.00004543735,0.0004309551,0.0001011452,0.000257842,0.0001423326],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.008365933,0.004422077,0.4296404,0.000830967,0.0003211738,0.0002894532,0.0007158974,0.0003428363,0.553111,0.00000996477,0.0001237876,0.001826594],"study_design_scores_gemma":[0.005782937,0.01202856,0.8331715,0.0004792968,0.000546541,0.00004495689,0.00005608866,0.001884902,0.1458773,0.00001160221,0.000033214,0.00008314684],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.999106,0.0003606507,0.00005644157,0.0001344276,0.00003977735,0.0002106338,0.00004265994,0.000003275915,0.00004612847],"genre_scores_gemma":[0.9992803,0.00003680828,0.0004533467,0.00007043991,0.00008845083,0.000002892676,0.00005376434,0.000007628797,0.000006359884],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4072337,"threshold_uncertainty_score":0.5276176,"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."}}