{"id":"W3166835056","doi":"10.1200/jco.2021.39.15_suppl.6517","title":"Should we routinely screen for frailty prior to gynecologic oncology surgery? Frailty as a potential predictor of adverse postoperative outcomes in elderly patients.","year":2021,"lang":"en","type":"article","venue":"Journal of Clinical Oncology","topic":"Cardiac, Anesthesia and Surgical Outcomes","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hamilton Health Sciences; University of Toronto; McMaster University","funders":"","keywords":"Medicine; Gynecologic oncology; Adverse effect; Internal medicine; Logistic regression; Comorbidity; Cohort; Surgery; Complication","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":[0.0008109973,0.0001275777,0.000286265,0.0005017443,0.0003572254,0.0004497894,0.0002355664,0.0006529173,0.001255403],"category_scores_gemma":[0.004044887,0.0001191928,0.0002258279,0.0005723062,0.0002124473,0.0005063728,0.0002561419,0.0008376206,0.0002668453],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003534745,"about_ca_system_score_gemma":0.001031456,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01169214,"about_ca_topic_score_gemma":0.03010007,"domain_scores_codex":[0.9997372,0.00006448007,0.00003438334,0.00002226485,0.00006331787,0.00007827062],"domain_scores_gemma":[0.9981911,0.0002810562,0.0006393855,0.00005297799,0.0002642826,0.0005712751],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00003797673,0.00001865923,0.9914219,0.00002053614,0.000007352974,0.0001455744,0.00005140653,0.00001586556,0.00007713575,0.000007378459,0.001034373,0.007161826],"study_design_scores_gemma":[0.000009727025,0.0001481578,0.9976913,0.0000985623,0.00001786484,0.0003511847,0.0003407357,0.0001508455,0.0000667089,0.00007180619,0.00104745,0.000005664219],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9825826,0.005246148,0.0001878186,0.009629974,0.0002112405,0.00004755071,0.0004277191,0.00001255029,0.001654524],"genre_scores_gemma":[0.9964439,0.001434922,0.0003003947,0.00122609,0.0001333577,0.00001972677,0.0001843999,0.00000212291,0.0002550601],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01169214,"threshold_uncertainty_score":0.02324814,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1476578400488842,"score_gpt":0.4505681329532515,"score_spread":0.3029102929043672,"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."}}