{"id":"W4405961738","doi":"10.1093/geroni/igae098.1927","title":"TESTING ERADAR: A NEW EHR-BASED ALGORITHM TO INCREASE DEMENTIA RECOGNITION IN HEALTH CARE SYSTEMS","year":2024,"lang":"en","type":"article","venue":"Innovation in Aging","topic":"Machine Learning in Healthcare","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Dementia; Medicine; Intervention (counseling); Population; Cognition; Electronic health record; Health care; Randomized controlled trial; Gerontology; Family medicine; Psychiatry; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02859427,0.001029935,0.001079954,0.002539831,0.0005205731,0.002223406,0.001335682,0.001685656,0.002287057],"category_scores_gemma":[0.1020444,0.0004737814,0.00139554,0.00136508,0.0004556728,0.003186633,0.001534673,0.001653063,0.0006291643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009873826,"about_ca_system_score_gemma":0.001605853,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004018995,"about_ca_topic_score_gemma":0.003240832,"domain_scores_codex":[0.9759834,0.01492301,0.002395041,0.003113521,0.003129427,0.0004555141],"domain_scores_gemma":[0.8882809,0.09544048,0.00502786,0.003073122,0.007313728,0.0008639183],"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":[0.004389799,0.003995866,0.5450782,0.0008353259,0.002124271,0.0001814813,0.0005123102,0.07171911,0.001828092,0.002007544,0.01123365,0.3560943],"study_design_scores_gemma":[0.0009112793,0.002790068,0.04811477,0.0001285769,0.0004754519,0.0002330419,0.00023385,0.9393207,0.00287529,0.002869638,0.001972018,0.00007538574],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.8224512,0.0012495,0.1566841,0.00311729,0.0004217094,0.001983554,0.003508994,0.005392339,0.005191202],"genre_scores_gemma":[0.8186186,0.0001563584,0.1775719,0.0008516762,0.00007854803,0.0005535409,0.001561711,0.00007413587,0.0005334993],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.02859427,"threshold_uncertainty_score":0.1512228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04286818659973925,"score_gpt":0.3322583262358505,"score_spread":0.2893901396361113,"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."}}