{"id":"W2169244250","doi":"10.1017/s0007114512001067","title":"Accelerated muscle and adipose tissue loss may predict survival in pancreatic cancer patients: the relationship with diabetes and anaemia","year":2012,"lang":"en","type":"article","venue":"British Journal Of Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":134,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lawson Health Research Institute; McMaster University; University of Waterloo","funders":"","keywords":"Cachexia; Medicine; Weight loss; Diabetes mellitus; Pancreatic cancer; Adipose tissue; Gastroenterology; Internal medicine; Type 2 diabetes; Cancer; Sarcopenia; Skeletal muscle; Endocrinology; Obesity","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":[0.0006195632,0.0002589352,0.0003072552,0.0005676345,0.0002640621,0.0005612613,0.0002357354,0.0006210497,0.001764299],"category_scores_gemma":[0.002129318,0.0002317008,0.000279722,0.0008005881,0.0002550514,0.0004077616,0.000461299,0.0007262231,0.0003165787],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001814932,"about_ca_system_score_gemma":0.0001866191,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00204951,"about_ca_topic_score_gemma":0.002981746,"domain_scores_codex":[0.9997122,0.0001109731,0.00004057772,0.00004417657,0.00005181938,0.00004028465],"domain_scores_gemma":[0.9986314,0.0003972777,0.0005809395,0.00005953348,0.00009699079,0.0002337894],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001658936,0.0000150216,0.9985122,0.000006100433,0.00001884266,0.00002433069,0.00001247165,0.0000342318,0.0001085709,0.000003249802,0.00002738983,0.001071701],"study_design_scores_gemma":[0.000005749137,0.0001166977,0.9991047,0.000006268508,0.00002352584,0.0002497469,0.00004996997,0.0003066613,0.00002956616,0.00001876753,0.00008597112,0.000002358042],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9983007,0.001054933,0.00009501544,0.00007332574,0.000006866393,0.000005212539,0.0001069126,0.000003053043,0.000353919],"genre_scores_gemma":[0.9993467,0.0001907507,0.0001291087,0.0000221913,0.00001038454,0.000005455364,0.0001471739,0.000001219051,0.0001470886],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00204951,"threshold_uncertainty_score":0.005902171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03537206174209002,"score_gpt":0.3054410892234276,"score_spread":0.2700690274813375,"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."}}