{"id":"W4416394025","doi":"10.1016/j.jgo.2025.102368","title":"Assessment of risk of bias in mortality risk prediction models for older adults with cancer: A systematic review from YSIOG and SIOG NAHS members","year":2025,"lang":"en","type":"article","venue":"Journal of Geriatric Oncology","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Princess Margaret Cancer Centre; Toronto Rehabilitation Institute; Canadian Centre for Applied Research in Cancer Control; University of British Columbia","funders":"","keywords":"Predictive modelling; Risk assessment; MEDLINE; Risk management tools","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[{"model":"gemma","categories":["metaresearch"],"domain":"methods","study_design":"systematic_review","genre":"empirical","about_ca_system":false,"about_ca_topic":false,"confidence":"low","status":"direct model label, unvalidated"},{"model":"gpt","categories":[],"domain":null,"study_design":"systematic_review","genre":"review","about_ca_system":false,"about_ca_topic":false,"confidence":"high","status":"direct model label, unvalidated"}],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001909258,0.0001691284,0.001973185,0.0003617817,0.00002564793,0.000003860113,0.0001188642,0.0001619033,0.00002895552],"category_scores_gemma":[0.00121816,0.0001142535,0.0001922451,0.0004786128,0.00006947985,0.0001202467,0.00003339766,0.0003536925,7.223832e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004079409,"about_ca_system_score_gemma":0.0009355677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002150507,"about_ca_topic_score_gemma":0.0008568778,"domain_scores_codex":[0.9968933,0.0005040384,0.001847489,0.0002109715,0.0003814452,0.0001627131],"domain_scores_gemma":[0.9946167,0.001478588,0.002873106,0.00027829,0.0006591011,0.00009416752],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003365103,0.002079488,0.5467411,0.4233037,0.004724831,0.00008155213,0.002829242,0.005263221,0.0001709236,0.00007043908,0.003808129,0.007562284],"study_design_scores_gemma":[0.02238242,0.003919568,0.7029234,0.2181305,0.01961428,0.0001079684,0.001404108,0.03041824,0.0001180605,0.0007342618,0.00005251134,0.0001945838],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.954888,0.03813391,0.003238047,0.0004563207,0.0004004676,0.002410014,0.000297917,0.00000678345,0.0001685726],"genre_scores_gemma":[0.9310902,0.06246579,0.006116726,0.00009452413,0.00008267106,0.0001010886,0.000009695957,0.00001299712,0.00002633647],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2051732,"threshold_uncertainty_score":0.4659121,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02118314392706489,"score_gpt":0.3521809055288835,"score_spread":0.3309977616018186,"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."}}