{"id":"W2728860826","doi":"10.1093/geroni/igx004.837","title":"AEROBIC AND RESISTANCE TRAINING TO REDUCE CANCER-RELATED FATIGUE: EFFICACY IN ONCOGERIATRIC PATIENTS","year":2017,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Cancer survivorship and care","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Centre Hospitalier Universitaire de Sherbrooke; Université de Sherbrooke","funders":"","keywords":"Medicine; Aerobic exercise; Lean body mass; Quality of life (healthcare); Aerobic capacity; Physical therapy; Cancer; Population; Cancer-related fatigue; Physical fitness; Gerontology; Body weight; Internal medicine; Nursing","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":[0.0003368048,0.00009792613,0.0001914205,0.000462417,0.0001001957,0.00004977141,0.00008640879,0.00005879261,0.00001494333],"category_scores_gemma":[0.0003290345,0.000105939,0.00001203199,0.001015138,0.00002406783,0.0001427058,0.00003612202,0.0001954817,0.000001706819],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000235689,"about_ca_system_score_gemma":0.0001056254,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008425383,"about_ca_topic_score_gemma":0.002544096,"domain_scores_codex":[0.9989709,0.00002217071,0.000401141,0.0002526196,0.0001634964,0.0001896194],"domain_scores_gemma":[0.9993696,0.00003305233,0.0001797709,0.0002372192,0.000143221,0.00003709363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001972012,0.0001164189,0.8613186,0.0001352969,0.0000184538,0.00002395097,0.03034109,0.00003876817,0.002996002,0.001836161,0.0003723354,0.1026057],"study_design_scores_gemma":[0.002531287,0.00002697773,0.9932256,0.0008418259,0.000007773073,7.729348e-7,0.0004601716,0.00002303095,0.0005227681,0.000119691,0.002108688,0.0001314223],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929223,0.0001321531,0.0000202779,0.002777138,0.0005033608,0.0003194419,0.000002529476,0.00003213603,0.003290641],"genre_scores_gemma":[0.9989935,0.00002215318,0.000265783,0.0003250519,0.00006920513,0.00004624753,0.00001407127,0.00001507617,0.0002489776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.131907,"threshold_uncertainty_score":0.4320068,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0508448911119417,"score_gpt":0.3496391910508727,"score_spread":0.298794299938931,"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."}}