{"id":"W3001608359","doi":"10.1002/jcsm.12533","title":"Lipid is heterogeneously distributed in muscle and associates with low radiodensity in cancer patients","year":2020,"lang":"en","type":"article","venue":"Journal of Cachexia Sarcopenia and Muscle","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":55,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary; University of Alberta","funders":"Consejo Nacional de Ciencia y Tecnología; University of Alberta; Canadian Institutes of Health Research; Alberta Innovates; Alberta Innovates - Technology Futures","keywords":"Medicine; Radiodensity; Cancer; Pathology; Gastroenterology; Internal medicine; Surgery; Radiography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002592791,0.0002169201,0.0002553604,0.0007005589,0.0002708089,0.0003846696,0.0002501119,0.00034138,0.0008279845],"category_scores_gemma":[0.001101859,0.0001499822,0.0001883244,0.0009959314,0.0002992763,0.0002111883,0.0003064288,0.0002467428,0.0001670749],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002004576,"about_ca_system_score_gemma":0.0001179743,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001722124,"about_ca_topic_score_gemma":0.001978353,"domain_scores_codex":[0.9998022,0.00003783141,0.00002936893,0.00006170772,0.00004022688,0.00002874743],"domain_scores_gemma":[0.9991165,0.0001252077,0.0005493825,0.00004101679,0.00008164572,0.00008624773],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001040272,0.000007357683,0.9975137,0.000007196131,0.00002367926,0.0001331926,0.00002558447,0.0000313327,0.001244077,0.000005322586,0.00002052644,0.0008840864],"study_design_scores_gemma":[0.000002406402,0.0000563905,0.9989458,0.000002608353,0.00001822214,0.0005836729,0.00006380869,0.0000911411,0.0001711802,0.00001116125,0.00005176415,0.000001771485],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994461,0.0002583234,0.00007204686,0.00001514294,0.0000013536,0.000003354959,0.00006920398,0.000003183535,0.000131269],"genre_scores_gemma":[0.999718,0.00006578657,0.00007305552,0.00000860886,0.000003718308,0.000003008603,0.00009233278,0.000001111569,0.00003435488],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001722124,"threshold_uncertainty_score":0.003424168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02114533418069073,"score_gpt":0.283083432049394,"score_spread":0.2619380978687032,"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."}}