{"id":"W3040646996","doi":"10.1016/j.jcrc.2020.06.007","title":"Comparison of two frailty identification tools for critically ill patients: A post-hoc analysis of a multicenter prospective cohort study","year":2020,"lang":"en","type":"article","venue":"Journal of Critical Care","topic":"Frailty in Older Adults","field":"Medicine","cited_by":25,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta; University of Calgary; Alberta Health Services; Impact; McMaster University","funders":"Canadian Institutes of Health Research; University of Alberta; Canadian Intensive Care Foundation","keywords":"Medicine; Critically ill; Post-hoc analysis; Identification (biology); Intensive care medicine; Post hoc; Prospective cohort study; Cohort; Cohort study; Emergency medicine; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.009941787,0.002349913,0.003388464,0.000956663,0.001136009,0.002793182,0.001612016,0.001632779,0.001393714],"category_scores_gemma":[0.01477328,0.000800095,0.005670338,0.001069158,0.0009802809,0.002038098,0.001571551,0.001993621,0.0002612827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009199476,"about_ca_system_score_gemma":0.00143277,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004358405,"about_ca_topic_score_gemma":0.005871637,"domain_scores_codex":[0.9934662,0.003480662,0.0004240365,0.001449891,0.0005425506,0.000636733],"domain_scores_gemma":[0.9867302,0.006645252,0.00199923,0.001769224,0.001684973,0.001171049],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.1264242,0.001570613,0.8472552,0.0001951792,0.01625705,0.0002280309,0.000678542,0.0004569365,0.001656748,0.00009557557,0.0004323346,0.004749519],"study_design_scores_gemma":[0.008469245,0.02205485,0.9531088,0.00006403502,0.01105244,0.0002160261,0.001287195,0.002570691,0.0005831725,0.0001273244,0.000364588,0.0001016514],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9991684,0.0002942034,0.0001918437,0.00002186873,0.00003301509,0.00004573635,0.0001801326,0.000003919436,0.00006092283],"genre_scores_gemma":[0.9986023,0.0001200081,0.0003062494,0.00004119544,0.00004909648,0.00009737501,0.0006545403,0.000009337489,0.0001198844],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009941787,"threshold_uncertainty_score":0.05257779,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.050106366525705,"score_gpt":0.4137736750637788,"score_spread":0.3636673085380738,"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."}}