{"id":"W2613388047","doi":"10.1097/md.0000000000006728","title":"Performance of the LACE index to identify elderly patients at high risk for hospital readmission in Singapore","year":2017,"lang":"en","type":"article","venue":"Medicine","topic":"Heart Failure Treatment and Management","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"SingHealth Foundation","keywords":"Medicine; Logistic regression; Emergency medicine; Emergency department; Index (typography); Triage; Framingham Risk Score; Cohort; Charlson comorbidity index; Comorbidity; Medical record; Demographics; Retrospective cohort study; Medical emergency; Internal medicine; Demography; Disease","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002868758,0.0001161784,0.0002684267,0.00007988018,0.0001904258,0.000005337569,0.0001549647,0.00005155417,0.00006751988],"category_scores_gemma":[0.0005332447,0.0000643992,0.00004461391,0.00007302463,0.00007922571,0.00006149794,0.0001260151,0.00008779899,0.00001174301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009772047,"about_ca_system_score_gemma":0.0000226614,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005361962,"about_ca_topic_score_gemma":0.0001401461,"domain_scores_codex":[0.9990434,0.00001768707,0.0002444481,0.0001929455,0.0003145293,0.0001869708],"domain_scores_gemma":[0.9990189,0.0000342465,0.0001808814,0.0005742921,0.00008692843,0.0001047346],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002855147,0.0001552901,0.9555776,0.0001052349,0.00002480481,0.000004111106,0.0005527726,0.000002097239,0.0002430725,0.000009865342,0.02137055,0.0216691],"study_design_scores_gemma":[0.004944085,0.002298383,0.9692271,0.0006890319,0.0001027462,4.6273e-7,0.00006592865,0.0001032562,0.0009467884,0.00002429413,0.0215352,0.00006269741],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9748085,0.00002197103,0.00001606741,0.02284555,0.0004473271,0.001277694,0.000004635905,0.00001119017,0.0005670617],"genre_scores_gemma":[0.9952945,0.00003386277,0.0002031356,0.0001787913,0.0001212647,0.00004386975,0.00001949187,0.00001294006,0.004092173],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02266676,"threshold_uncertainty_score":0.2626123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01459963101106444,"score_gpt":0.3038864641329618,"score_spread":0.2892868331218973,"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."}}