{"id":"W4283740822","doi":"10.1093/ageing/afac152","title":"The impact of pre-treatment muscle strength and physical performance on treatment modification in older adults with cancer following comprehensive geriatric assessment","year":2022,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Nutrition and Health in Aging","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Princess Margaret Cancer Centre; University of Toronto; University Health Network","funders":"","keywords":"Medicine; Sarcopenia; Muscle strength; Cancer treatment; Physical therapy; Gerontology; Physical medicine and rehabilitation; Cancer; Internal medicine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00226605,0.0003106259,0.0003378923,0.0006439056,0.0003262681,0.0006437442,0.0004325006,0.0004592374,0.001058038],"category_scores_gemma":[0.01062274,0.000155535,0.0007837961,0.0007181684,0.000232452,0.0005455875,0.0006214455,0.0007913143,0.0001169479],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004780368,"about_ca_system_score_gemma":0.0005352637,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007319598,"about_ca_topic_score_gemma":0.0122219,"domain_scores_codex":[0.9986275,0.0005165213,0.0001849984,0.0001642144,0.0003093434,0.0001973117],"domain_scores_gemma":[0.994635,0.001351422,0.002816359,0.0002174209,0.0004122863,0.0005674689],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00005875371,0.00003226922,0.9983199,0.00001109535,0.0000539869,0.00001347193,0.00002354475,0.00003123369,0.00001327517,0.000004938769,0.00004720399,0.001390252],"study_design_scores_gemma":[0.000002054545,0.00008120471,0.9996424,0.000008393025,0.00002256141,0.00003132085,0.0000299015,0.0001281221,0.00001022693,0.000008005481,0.00003432104,0.000001536362],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9984406,0.0007539283,0.00006346116,0.0001513164,0.000008477981,0.00001391425,0.0002473505,0.000003395259,0.0003176273],"genre_scores_gemma":[0.99943,0.0001626762,0.00006070734,0.00003461439,0.00001190687,0.000009428474,0.000237374,7.109133e-7,0.00005256359],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007319598,"threshold_uncertainty_score":0.01455396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.023405665901902,"score_gpt":0.3532091344455459,"score_spread":0.3298034685436439,"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."}}