{"id":"W1577090346","doi":"10.1002/cncr.28218","title":"Skeletal muscle density predicts prognosis in patients with metastatic renal cell carcinoma treated with targeted therapies","year":2013,"lang":"en","type":"article","venue":"Cancer","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":221,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Medicine; Hounsfield scale; Confidence interval; Renal cell carcinoma; Proportional hazards model; Adipose tissue; Internal medicine; Skeletal muscle; Sarcopenia; Hazard ratio; Log-rank test; Urology; Oncology; Surgery; Computed tomography","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":[0.00004389606,0.0001310398,0.0002371849,0.00009351875,0.0000534267,0.0000127021,0.00003449134,0.00003191015,0.0004197276],"category_scores_gemma":[0.000004376406,0.00008445955,0.00002071003,0.0002302531,0.00006366386,0.0000977551,0.000007819289,0.0001489127,0.00001255165],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001244772,"about_ca_system_score_gemma":0.0001119611,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007593724,"about_ca_topic_score_gemma":0.00014993,"domain_scores_codex":[0.999109,0.00003832684,0.0001629294,0.0002084093,0.0002175559,0.0002638085],"domain_scores_gemma":[0.9994494,0.00001559446,0.00007065076,0.0001174182,0.0002017722,0.0001451948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001982314,0.0002871008,0.9951997,0.0002178174,0.00002781788,0.00001624262,0.0004764155,0.000002780775,0.0004085651,0.000001754997,0.0007910855,0.002372506],"study_design_scores_gemma":[0.006154333,0.0007438728,0.9895173,0.0002195962,0.00006245528,0.000001685056,0.0001158181,0.0000998519,0.002603028,0.000006758768,0.000369432,0.0001058959],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9976175,0.000413709,0.00001287983,0.0005763047,0.0000278886,0.001080366,0.00001445928,0.00004493486,0.0002120004],"genre_scores_gemma":[0.997742,0.00002044246,0.001045333,0.0005772845,0.00003828807,0.0003224554,0.00005088719,0.00002301039,0.0001803013],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005956101,"threshold_uncertainty_score":0.4595723,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711876310349365,"score_gpt":0.2518258097807128,"score_spread":0.2347070466772192,"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."}}