{"id":"W2403825332","doi":"10.1016/j.dadm.2016.05.003","title":"Cognitive variability—A marker for incident MCI and AD: An analysis for the Alzheimer's Disease Neuroimaging Initiative","year":2016,"lang":"en","type":"article","venue":"Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Biomedical Imaging and Bioengineering; National Institute on Aging; Canadian Institutes of Health Research; Genentech; National Institutes of Health; H. Lundbeck A/S; Pfizer; Novartis Pharmaceuticals Corporation; Biogen; Servier; GE Healthcare; BioClinica; AbbVie; Takeda Pharmaceutical Company; Eli Lilly and Company; Foundation for the National Institutes of Health; Norman Cousins Center for Psychoneuroimmunology; Merck; U.S. Department of Defense","keywords":"Neuroimaging; Alzheimer's Disease Neuroimaging Initiative; Neuropsychology; Cognition; Medicine; Apolipoprotein E; Effects of sleep deprivation on cognitive performance; Disease; Dementia; Alzheimer's disease; Internal medicine; Oncology; Psychology; Clinical psychology; Psychiatry","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":[0.003461832,0.0004261504,0.0005318269,0.001292515,0.0003093188,0.0006878397,0.0004468524,0.0002719189,0.0006597922],"category_scores_gemma":[0.00616186,0.0001934821,0.001018308,0.001078921,0.0002134058,0.0004050943,0.000681803,0.0006777301,0.00009436152],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002187637,"about_ca_system_score_gemma":0.0004205398,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003845743,"about_ca_topic_score_gemma":0.003609978,"domain_scores_codex":[0.999001,0.0004151625,0.00009005136,0.0002154562,0.0002149735,0.00006341985],"domain_scores_gemma":[0.9971717,0.0009816351,0.000924143,0.0004017046,0.000229485,0.0002912994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002168209,0.00001181103,0.9978934,0.000006098466,0.0003040398,0.0000182825,0.00002370322,0.000105594,0.00009881145,0.0000191064,0.00007433754,0.001228083],"study_design_scores_gemma":[0.000006401327,0.00007059664,0.998605,0.000003018823,0.00008282404,0.00007851613,0.00002415849,0.0008726918,0.00008065536,0.00005484483,0.0001182285,0.000003140863],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965659,0.0004461279,0.001308669,0.00006097341,0.00001190868,0.00002090422,0.0009282013,0.00002055922,0.0006367223],"genre_scores_gemma":[0.9981999,0.0000500785,0.0006536996,0.0000131532,0.00001309097,0.00002179473,0.0009013263,0.000006684486,0.0001401352],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003845743,"threshold_uncertainty_score":0.01830816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0597176221776196,"score_gpt":0.3868639623134613,"score_spread":0.3271463401358417,"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."}}