{"id":"W4416146014","doi":"10.1186/s12875-025-03075-7","title":"Development and testing of an electronic frailty index using Canadian electronic medical record data in primary care","year":2025,"lang":"en","type":"article","venue":"BMC Primary Care","topic":"Frailty in Older Adults","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; University of British Columbia Hospital","funders":"Canadian Institutes of Health Research; Canadian Nurses Foundation","keywords":"Primary care; Electronic medical record; Medical record; Health care; Electronic health record; Primary health care; Index (typography)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.000409318,0.0002713588,0.0005334701,0.0004621409,0.0001137994,0.00002086577,0.0005290097,0.0002868455,0.00002669645],"category_scores_gemma":[0.0004355632,0.0002857109,0.00003090754,0.0006534738,0.000101078,0.0002121539,0.0004050723,0.0007598838,0.000001370587],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.005554922,"about_ca_system_score_gemma":0.03821526,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.03924442,"about_ca_topic_score_gemma":0.6016184,"domain_scores_codex":[0.9972071,0.00009665231,0.0005765556,0.0007005454,0.000530981,0.0008881696],"domain_scores_gemma":[0.998253,0.0001467777,0.0001017142,0.000936495,0.0002128199,0.0003491584],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001411547,0.00005645472,0.5607433,0.003051952,0.00006233882,0.00008624426,0.001522208,0.00001099007,0.000603081,0.00003283419,0.00009121982,0.4335982],"study_design_scores_gemma":[0.004805814,0.000328004,0.9599907,0.003498137,0.0001624373,0.0001706091,0.003246065,0.002222552,0.001006996,0.0000583613,0.02391547,0.0005948286],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9843491,0.008775537,0.0001797761,0.0001449669,0.0001095546,0.0006569049,0.00005406562,0.00005666272,0.005673485],"genre_scores_gemma":[0.9796965,0.00008162233,0.01696222,0.001039843,0.00007611729,0.00002024465,0.002006528,0.00004233629,0.00007465803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.562374,"threshold_uncertainty_score":0.9999595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03510470808362321,"score_gpt":0.2960599860686228,"score_spread":0.2609552779849996,"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."}}