{"id":"W3152713532","doi":"10.1002/lt.26078","title":"Applying Administrative Data‐Based Coding Algorithms for Frailty in Patients With Cirrhosis","year":2021,"lang":"en","type":"article","venue":"Liver Transplantation","topic":"Frailty in Older Adults","field":"Medicine","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Allergan; National Institutes of Health; National Institute of Diabetes and Digestive and Kidney Diseases; Bausch Health; Gilead Sciences","keywords":"Medicine; Receiver operating characteristic; Liver transplantation; Cirrhosis; Hazard ratio; Frailty Index; Prospective cohort study; Activities of daily living; Physical therapy; Internal medicine; Transplantation; Confidence interval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.009287798,0.0003773991,0.0007055861,0.002908299,0.0003986024,0.001157991,0.000702725,0.0003898323,0.0008986822],"category_scores_gemma":[0.04788985,0.0003018248,0.001118803,0.003300922,0.0003303993,0.0004982922,0.001294241,0.0007590533,0.0002639128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001198578,"about_ca_system_score_gemma":0.001356453,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02170063,"about_ca_topic_score_gemma":0.01135816,"domain_scores_codex":[0.9925072,0.003915277,0.001349456,0.0006598026,0.001125639,0.0004425641],"domain_scores_gemma":[0.9798388,0.008979124,0.00494452,0.003054675,0.00282375,0.0003590245],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0004003768,0.00006760039,0.9754494,0.00004890751,0.0002022919,0.00004524089,0.0001530992,0.004757951,0.0002098198,0.0005332587,0.001370824,0.0167612],"study_design_scores_gemma":[0.0001389448,0.0002023272,0.9022827,0.00009978769,0.000113957,0.0002866529,0.0003472457,0.0920921,0.0006975182,0.001804471,0.001885785,0.00004863069],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9644872,0.0007340948,0.02230273,0.0005674419,0.00007223109,0.0004090047,0.009510583,0.0002098771,0.001706846],"genre_scores_gemma":[0.9839971,0.0001357813,0.009128943,0.0001282998,0.00002575455,0.0002717014,0.006139041,0.00002250153,0.000150878],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02170063,"threshold_uncertainty_score":0.04911917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0892176071849211,"score_gpt":0.3292046836127829,"score_spread":0.2399870764278618,"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."}}