{"id":"W3139330095","doi":"10.1093/ageing/afab043","title":"Predicting readmission and death after hospital discharge: a comparison of conventional frailty measurement with an electronic health record-based score","year":2021,"lang":"en","type":"article","venue":"Age and Ageing","topic":"Frailty in Older Adults","field":"Medicine","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canada First Research Excellence Fund; Stiftung für klinische Forschung zur Förderung der oralen Gesundheit; Office of the Chief Scientist, Ministry of Health; British Heart Foundation","keywords":"Medicine; Hazard ratio; Confidence interval; Observational study; Emergency medicine; Cohort study; Cohort; Electronic health record; Internal medicine; Physical therapy; Health care","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002138158,0.000123204,0.0002870618,0.00003913938,0.00009335518,0.00002244678,0.00002491211,0.00004176153,0.00003763091],"category_scores_gemma":[0.00007493196,0.00009829795,0.00003037556,0.00007973612,0.00003564023,0.00009820249,0.00002439469,0.000204415,3.024932e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006684618,"about_ca_system_score_gemma":0.0002971355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001851015,"about_ca_topic_score_gemma":0.0006047186,"domain_scores_codex":[0.9988232,0.00005917939,0.0002478885,0.0002853349,0.000341942,0.0002424648],"domain_scores_gemma":[0.9994074,0.00002645307,0.0001154557,0.0001538965,0.0001143347,0.0001825291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003859587,0.0004764523,0.967732,0.0007179756,0.00009357998,0.0008851878,0.001443654,0.000004028328,0.003675028,0.00005916342,0.00008989542,0.0244371],"study_design_scores_gemma":[0.003075562,0.003089379,0.983337,0.003305743,0.00009934477,0.00004151514,0.0006347335,0.002214321,0.00336411,0.00008819884,0.0005795552,0.0001705728],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994644,0.002270331,0.001288469,0.001420275,0.00003400749,0.0002561726,0.000006588839,0.0000278573,0.00005233634],"genre_scores_gemma":[0.9976519,0.00005133815,0.001866164,0.0002188455,0.00005809488,0.00001554599,0.00006133936,0.00001627624,0.00006045198],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02426653,"threshold_uncertainty_score":0.4008474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03819218115857007,"score_gpt":0.3023235916037303,"score_spread":0.2641314104451602,"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."}}