{"id":"W4390192555","doi":"10.1002/alz.077293","title":"Identification of Alzheimer’s disease in Veteran patients using clinical notes from electronic health records","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":"Referral; Population; Disease; Medicine; Fiscal year; Veterans Affairs; Health care; Family medicine; Pediatrics; Pathology; 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":[0.006751954,0.0004118978,0.0004692822,0.008540434,0.0005870034,0.002232796,0.0009514291,0.0004673672,0.00124769],"category_scores_gemma":[0.04135798,0.0003139347,0.000536785,0.005378809,0.0002696789,0.0009787192,0.001464033,0.0004425206,0.0004157777],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009266748,"about_ca_system_score_gemma":0.00264883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02177596,"about_ca_topic_score_gemma":0.03849326,"domain_scores_codex":[0.9936364,0.002286498,0.002088991,0.000774042,0.001010698,0.0002033708],"domain_scores_gemma":[0.9669275,0.01728447,0.008426254,0.002324963,0.004537935,0.0004988654],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001972175,0.0001263379,0.9248478,0.0005929355,0.0001204334,0.0003357717,0.001382351,0.0005356394,0.0007848372,0.0001711259,0.002246641,0.0686589],"study_design_scores_gemma":[0.0001398583,0.0002730393,0.9507638,0.00146922,0.0003106225,0.001651304,0.007062498,0.02387937,0.004136904,0.0006858109,0.009548382,0.00007908537],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9749751,0.001540349,0.008167302,0.0008251448,0.00005250289,0.001890189,0.009035526,0.0002694101,0.003244372],"genre_scores_gemma":[0.9295088,0.001304695,0.0574265,0.0002881103,0.00008370353,0.0007053914,0.01006203,0.00002305433,0.0005976511],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02177596,"threshold_uncertainty_score":0.04329842,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08271576162104552,"score_gpt":0.4093904514502348,"score_spread":0.3266746898291893,"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."}}