{"id":"W4226332853","doi":"10.1097/ju.0000000000002580.10","title":"MP31-10 SYSTEMATIC REVIEW AND META-ANALYSIS OF FRAILTY INDICES IN UROLOGIC SURGERY: RISK PREDICTION OF POSTOPERATIVE COMPLICATIONS","year":2022,"lang":"en","type":"article","venue":"The Journal of Urology","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Medicine; Meta-analysis; Odds ratio; Frailty Index; MEDLINE; Scopus; General surgery; Surgery; Internal medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009324154,0.001807407,0.01018208,0.009191635,0.0008245796,0.002847316,0.002046061,0.001665046,0.01316103],"category_scores_gemma":[0.04157506,0.0009477549,0.01575481,0.008969804,0.0004985934,0.001804314,0.001890321,0.001360629,0.000986941],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00254336,"about_ca_system_score_gemma":0.007357591,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006058297,"about_ca_topic_score_gemma":0.01993569,"domain_scores_codex":[0.9936476,0.002360684,0.002186523,0.0004601692,0.00106365,0.0002813446],"domain_scores_gemma":[0.979325,0.01444806,0.003157598,0.0006712403,0.002120753,0.0002773348],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"systematic_review","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.0008821142,0.00002065703,0.004298866,0.8423606,0.1274302,0.000150857,0.00009584902,0.000215779,0.0002535239,0.0001925874,0.006555357,0.01754361],"study_design_scores_gemma":[0.001442615,0.0003459642,0.01379538,0.3427407,0.6255388,0.0003028537,0.0001063966,0.0003356684,0.0002016723,0.0006115883,0.01450173,0.00007660358],"study_design_candidate":"meta_analysis","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.00534994,0.9789572,0.0008803273,0.001397009,0.0005124543,0.002486607,0.00911602,0.0001070325,0.001193347],"genre_scores_gemma":[0.08608982,0.8881857,0.004087019,0.00272296,0.0007730349,0.008592444,0.007938652,0.00006975092,0.001540701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01316103,"threshold_uncertainty_score":0.0493114,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07786645494695082,"score_gpt":0.3169263020226832,"score_spread":0.2390598470757324,"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."}}