{"id":"W4390201084","doi":"10.1002/alz.075975","title":"Comparative identification of Veterans with mild cognitive impairment or Alzheimer’s disease extracted from clinical notes and administrative data","year":2023,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Veterans Affairs; Dementia; Medicine; Cognitive impairment; ICD-10; Diagnosis code; Coding (social sciences); Disease; Natural history; Psychiatry; Cognition; Gerontology; Population; Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"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":[0.009842628,0.0003938685,0.0007268941,0.005376127,0.0004297569,0.001825095,0.0009618973,0.0009036982,0.001855792],"category_scores_gemma":[0.05262492,0.0003711708,0.001726611,0.004697284,0.0005115974,0.001271864,0.001998882,0.0006627764,0.0004655895],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001109793,"about_ca_system_score_gemma":0.001083446,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01238927,"about_ca_topic_score_gemma":0.01388945,"domain_scores_codex":[0.9868924,0.006331132,0.002162364,0.002215797,0.001497056,0.0009012386],"domain_scores_gemma":[0.9654336,0.01976566,0.008423101,0.002520008,0.003086803,0.000770818],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0008934614,0.00008747797,0.9934018,0.0001848907,0.0007370639,0.00005121587,0.0004600242,0.0002383817,0.0001787369,0.0001557283,0.0004884709,0.003122647],"study_design_scores_gemma":[0.0001146097,0.0003281283,0.9924872,0.0002371421,0.0004670021,0.0002180455,0.002308435,0.002253257,0.000307668,0.0002331543,0.001014292,0.00003106874],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923247,0.0003886994,0.0003588339,0.000117761,0.00002146114,0.00007610876,0.006170857,0.000008212223,0.0005333425],"genre_scores_gemma":[0.9891931,0.0001798084,0.000613768,0.00008129782,0.00002802069,0.0001595152,0.009636156,0.000007169483,0.0001010026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01238927,"threshold_uncertainty_score":0.05205345,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2726432883605627,"score_gpt":0.4637059854297516,"score_spread":0.1910626970691889,"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."}}