{"id":"W2520228726","doi":"10.3892/mco.2016.1015","title":"Muscle wasting associated with the long-term use of mTOR inhibitors","year":2016,"lang":"en","type":"article","venue":"Molecular and Clinical Oncology","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":52,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Japan Society for the Promotion of Science; Kobayashi International Scholarship Foundation","keywords":"Sarcopenic obesity; Wasting; Sarcopenia; Adipose tissue; Skeletal muscle; Medicine; PI3K/AKT/mTOR pathway; Lean body mass; Internal medicine; Muscle mass; Wasting Syndrome; Cachexia; Cancer; Cardiology; Endocrinology; Urology; Biology; Body weight; Biochemistry; Signal transduction","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005647487,0.0002563415,0.0005910221,0.0005599935,0.0003584554,0.0003123739,0.000172587,0.0002185052,0.001211912],"category_scores_gemma":[0.001717457,0.0001388788,0.0005675601,0.0007010023,0.000344227,0.000197761,0.0003929385,0.0005604041,0.000125617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003073548,"about_ca_system_score_gemma":0.0002299562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009724772,"about_ca_topic_score_gemma":0.001200178,"domain_scores_codex":[0.9994336,0.0001015829,0.0001113807,0.0000966134,0.0001463663,0.0001104309],"domain_scores_gemma":[0.9975964,0.0003705806,0.001486181,0.0001068902,0.0001818525,0.0002580786],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002813127,0.0001498189,0.9603385,0.0001613016,0.0003067718,0.005157015,0.000150421,0.000202433,0.006588269,0.00005414658,0.000114266,0.02396396],"study_design_scores_gemma":[0.00001861042,0.001154451,0.9900059,0.00001834207,0.0001658324,0.007329065,0.0000631732,0.0001966077,0.0006146587,0.00003194133,0.0003961111,0.000005406198],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9966263,0.002085718,0.0002803479,0.00004397402,0.00001074846,0.00002348983,0.00007187032,0.000007095612,0.0008505362],"genre_scores_gemma":[0.9992921,0.0003112988,0.00006407934,0.00001897585,0.00001794559,0.000006309248,0.00009226563,0.000002125842,0.0001948402],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001211912,"threshold_uncertainty_score":0.004054248,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1000986327035282,"score_gpt":0.4147407745200772,"score_spread":0.314642141816549,"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."}}