{"id":"W4206299162","doi":"10.1002/dad2.12250","title":"Cognitive screening with functional assessment improves diagnostic accuracy and attenuates bias","year":2021,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute on Aging; National Institutes of Health; National Alzheimer's Coordinating Center","keywords":"Diagnostic accuracy; Cognition; Intervention (counseling); Diagnostic test; Precision medicine; Cognitive impairment","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":[0.04788885,0.001037209,0.001552729,0.00353735,0.001074724,0.002418987,0.0009400093,0.001294465,0.00211286],"category_scores_gemma":[0.1486677,0.0004955757,0.00172491,0.002421592,0.000934159,0.002016506,0.002039663,0.0009025348,0.0004979095],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007364468,"about_ca_system_score_gemma":0.00177755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00405858,"about_ca_topic_score_gemma":0.01029658,"domain_scores_codex":[0.9554232,0.03623261,0.0019693,0.003268751,0.002362599,0.0007435064],"domain_scores_gemma":[0.8753036,0.09639578,0.0107747,0.008780382,0.007571224,0.001174361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007722548,0.0002025366,0.8386511,0.0002632152,0.001412264,0.00006212261,0.0002134863,0.002922466,0.0006045218,0.0007233944,0.002754718,0.151418],"study_design_scores_gemma":[0.0002372381,0.001380283,0.8508143,0.000613634,0.002462079,0.0008159863,0.0002992499,0.1236941,0.00302009,0.0122939,0.004249317,0.0001198431],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8581149,0.006220679,0.1185077,0.003976013,0.0004040402,0.0005076264,0.001427339,0.001008671,0.009832913],"genre_scores_gemma":[0.9641783,0.0002918207,0.03405315,0.0005119532,0.0002185769,0.00009838364,0.000284486,0.00003084533,0.0003324409],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.04788885,"threshold_uncertainty_score":0.2532635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06161251557181797,"score_gpt":0.3625272926890467,"score_spread":0.3009147771172287,"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."}}