{"id":"W2888653679","doi":"10.1016/j.jns.2018.08.023","title":"Impact of atrial fibrillation on the rate of mild cognitive impairment in the elderly","year":2018,"lang":"en","type":"article","venue":"Journal of the Neurological Sciences","topic":"Cerebrovascular and Carotid Artery Diseases","field":"Medicine","cited_by":6,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Atrial fibrillation; Medicine; Dementia; Depression (economics); Internal medicine; Cognitive decline; Cognition; Montreal Cognitive Assessment; Geriatric Depression Scale; Cardiology; Cognitive impairment; Mood; Stroke (engine); Vascular dementia; Disease; Psychiatry; Depressive symptoms","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":[0.0006629447,0.0003080413,0.000578841,0.0006597438,0.0005018224,0.0009511758,0.0003574406,0.0007441526,0.001543376],"category_scores_gemma":[0.005444845,0.000182407,0.001665532,0.0007492925,0.000239374,0.0004765763,0.0004609525,0.001070926,0.0002303797],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003552115,"about_ca_system_score_gemma":0.0006373607,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01382298,"about_ca_topic_score_gemma":0.01179039,"domain_scores_codex":[0.9994438,0.000153547,0.00006997451,0.00007379225,0.00011709,0.0001418119],"domain_scores_gemma":[0.9974317,0.0006182636,0.0008584514,0.0002140348,0.000331019,0.0005465309],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001098172,0.0001322025,0.9913247,0.00002949119,0.0003719596,0.0002708088,0.00006107967,0.0001376198,0.0001593318,0.00004009104,0.0002130445,0.006161414],"study_design_scores_gemma":[0.000006819623,0.0001212688,0.9993154,0.000005430963,0.000112317,0.0001331648,0.00005848376,0.0001213469,0.00001671491,0.00003070119,0.00007387598,0.000004558706],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9946531,0.002078865,0.00006009137,0.0003129983,0.00006312921,0.000005223187,0.0004311462,0.000007495453,0.00238791],"genre_scores_gemma":[0.9991156,0.0003603124,0.00002469732,0.0000483877,0.00006960643,0.000001762561,0.0001704471,0.00000160356,0.000207582],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01382298,"threshold_uncertainty_score":0.02748501,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03624584322331959,"score_gpt":0.3207035687131252,"score_spread":0.2844577254898056,"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."}}