{"id":"W2332389425","doi":"10.1016/j.clnu.2016.03.010","title":"Skeletal muscle radiodensity is prognostic for survival in patients with advanced non-small cell lung cancer","year":2016,"lang":"en","type":"article","venue":"Clinical Nutrition","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":145,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Canadian Institutes of Health Research","keywords":"Medicine; Sarcopenia; Skeletal muscle; Hounsfield scale; Hazard ratio; Lung cancer; Internal medicine; Radiodensity; Performance status; Proportional hazards model; Gastroenterology; Cancer; Surgery; Confidence interval; Computed tomography; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003224376,0.0001311748,0.0003998255,0.00007542236,0.00006262874,0.000007202331,0.00005341773,0.0001425661,0.00005583754],"category_scores_gemma":[0.0001611145,0.00009345453,0.0001094909,0.0001281588,0.00007409095,0.00008841747,0.00001570232,0.0001904251,0.00001024285],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001262748,"about_ca_system_score_gemma":0.00008136872,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009713674,"about_ca_topic_score_gemma":0.00003019689,"domain_scores_codex":[0.9985296,0.00005716065,0.0005327291,0.0003800754,0.0001800395,0.0003203667],"domain_scores_gemma":[0.998742,0.0004549908,0.0001345373,0.0001822041,0.0002765312,0.0002097639],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001366561,0.002459201,0.9691531,0.001253006,0.000013206,0.000005530559,0.00003448422,1.885858e-7,0.000241821,0.00001265953,0.003050233,0.02241001],"study_design_scores_gemma":[0.03660377,0.001258216,0.9548653,0.002219542,0.00006882044,5.305076e-7,0.00001985268,0.0001470191,0.0002745624,0.0001635517,0.004215404,0.0001634472],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.990778,0.0001942003,0.00153583,0.004476622,0.0004386062,0.002367873,0.00009080322,0.00004399838,0.00007404723],"genre_scores_gemma":[0.9916195,0.0005111314,0.005648606,0.001312327,0.0003976579,0.0003236284,0.00006441417,0.00002653025,0.00009623425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03523721,"threshold_uncertainty_score":0.3810965,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03700287544720623,"score_gpt":0.3649584874051724,"score_spread":0.3279556119579662,"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."}}