{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005509814,0.00006537971,0.0003089472,0.00002557804,0.00004637436,0.00000401415,0.00003470864,0.0001411016,0.00003599271],"category_scores_gemma":[0.0009157517,0.00003137041,0.00007162798,0.0000705428,0.0002812037,0.00002343898,0.00003381212,0.0001815873,0.000003354007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003508737,"about_ca_system_score_gemma":0.0001114478,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007489133,"about_ca_topic_score_gemma":0.00003569869,"domain_scores_codex":[0.9990029,0.000205113,0.000367013,0.000155308,0.0001116986,0.0001579814],"domain_scores_gemma":[0.9983239,0.001145788,0.0001705369,0.0001288328,0.0001002478,0.0001307245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003566421,0.0006721788,0.838914,0.0000664314,0.0001441347,0.0002694838,0.00005844383,1.944814e-7,0.009402275,0.0002550569,0.001155866,0.1487053],"study_design_scores_gemma":[0.005304183,0.00232449,0.9821619,0.0005478531,0.0001769568,0.00002563985,0.00002447731,0.00001832224,0.001133345,0.00003757127,0.008166172,0.00007910876],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9829296,0.000115841,0.0004952627,0.01581685,0.0001063557,0.0001848014,0.000002791804,0.00001883421,0.0003296542],"genre_scores_gemma":[0.9949455,0.0001119475,0.0002871807,0.004306656,0.00008426559,0.000006190563,0.000002952275,0.00001001264,0.000245312],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1486262,"threshold_uncertainty_score":0.1279248,"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."}}