{"id":"W3081916435","doi":"10.1212/wnl.0000000000010643","title":"Association of anticholinergic medications and AD biomarkers with incidence of MCI among cognitively normal older adults","year":2020,"lang":"en","type":"article","venue":"Neurology","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; Canadian Institutes of Health Research","keywords":"Anticholinergic; Internal medicine; Medicine; Cognition; Proportional hazards model; Apolipoprotein E; Cognitive decline; Hazard ratio; Incidence (geometry); Psychology; Risk factor; Disease; Cardiology; Dementia; Oncology; Psychiatry; Confidence interval","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"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":[0.0006948817,0.0003898812,0.0003852188,0.0007814293,0.0003017503,0.0006657052,0.0003243984,0.0004680828,0.001070579],"category_scores_gemma":[0.002744872,0.0002995298,0.0005183803,0.0006748575,0.000154901,0.0004157735,0.0004047658,0.0005002324,0.0001477934],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001821506,"about_ca_system_score_gemma":0.0001940606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005057286,"about_ca_topic_score_gemma":0.006898531,"domain_scores_codex":[0.9996749,0.00005550873,0.0000472814,0.00008070282,0.00008755824,0.00005400179],"domain_scores_gemma":[0.9981803,0.0002838524,0.001038269,0.000129804,0.000206721,0.0001611272],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002167101,0.0000182131,0.9986168,0.000006751518,0.00006997224,0.00002943351,0.00001237134,0.00002114625,0.0001052406,0.000004557892,0.00001976755,0.0008790546],"study_design_scores_gemma":[0.000003928543,0.00007678994,0.9995889,0.000001776924,0.00002757781,0.0001079831,0.00002418336,0.00009498392,0.00003129786,0.000008531629,0.00003274711,0.000001329284],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985253,0.0007046716,0.00007138485,0.0000234196,0.000003968214,0.000006091484,0.0003461686,0.000005093568,0.0003138745],"genre_scores_gemma":[0.9992804,0.0001630492,0.00007336278,0.00001074076,0.00001111994,0.000005338337,0.0002767344,0.000001079092,0.0001781746],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005057286,"threshold_uncertainty_score":0.01005566,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007619056123372931,"score_gpt":0.2633481818250675,"score_spread":0.2557291257016945,"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."}}