{"id":"W4409016334","doi":"10.1016/j.jgo.2025.102235","title":"Prevalence of pre-existing cognitive impairment in patients treated for cancer and the impact of cancer treatment on cognitive outcomes: A scoping review","year":2025,"lang":"en","type":"review","venue":"Journal of Geriatric Oncology","topic":"Cancer-related cognitive impairment studies","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"University Health Network; University of Toronto","funders":"University of Toronto; Centre for Addiction and Mental Health","keywords":"Medicine; Cognition; Cancer; Cognitive impairment; Gerontology; Psychiatry; Internal medicine","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009580961,0.0005977653,0.006138065,0.0007029268,0.00006656509,0.000005433684,0.0001290394,0.0002540543,0.00006357307],"category_scores_gemma":[0.002384267,0.0003107902,0.001395185,0.0007135737,0.0002891319,0.00005684686,0.0000808628,0.0004448617,3.632998e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002889785,"about_ca_system_score_gemma":0.004775329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005664607,"about_ca_topic_score_gemma":0.00008249902,"domain_scores_codex":[0.9956971,0.0006543146,0.00255045,0.0003785658,0.0003457915,0.0003737228],"domain_scores_gemma":[0.9869761,0.006343765,0.004978251,0.0001424905,0.00145264,0.0001067564],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.009366508,0.001701346,0.0434833,0.21739,0.006910041,0.00001888795,0.0004872241,0.000002826298,7.796338e-8,9.152e-7,0.0001310066,0.7205079],"study_design_scores_gemma":[0.02977402,0.01999635,0.05492019,0.8592679,0.03536419,0.00002937795,0.00007706141,0.000002674343,0.000003523535,0.000004515765,0.0003173811,0.0002428121],"study_design_candidate":"systematic_review","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.01772034,0.9677204,0.000004456286,0.0001294541,0.0002848099,0.01307556,0.0009035791,0.000004845675,0.0001565323],"genre_scores_gemma":[0.003806399,0.993995,0.00002039457,0.00009492881,0.0001366786,0.001688369,0.00002056149,0.00003405828,0.0002036418],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.7202651,"threshold_uncertainty_score":0.9999344,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05579302259990868,"score_gpt":0.4740694054399162,"score_spread":0.4182763828400075,"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."}}