{"id":"W7014587861","doi":"","title":"Predicting Cognitive Decline in Nondemented Elders Using Baseline Metrics of AD Pathologies, Cerebrovascular Disease, and Neurodegeneration","year":2023,"lang":"en","type":"article","venue":"UCL Discovery (University College London)","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Servier; Eisai; Brain Research Trust; Prothena; National Institute for Health and Care Research; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; University College London Hospitals NHS Foundation Trust; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Cognitive decline; Dementia; Proportional hazards model; Biomarker; Hazard ratio; Hyperintensity; Neurodegeneration; Alzheimer's disease; Disease","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":[0.001918036,0.0006520734,0.0004440264,0.001030443,0.0002352924,0.0007269135,0.0003646448,0.0004794302,0.0007772971],"category_scores_gemma":[0.004761436,0.0001681794,0.0006321805,0.0005550613,0.0001824245,0.000527918,0.0005480873,0.0004826399,0.0001779983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002627033,"about_ca_system_score_gemma":0.0004313862,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004323366,"about_ca_topic_score_gemma":0.008707309,"domain_scores_codex":[0.9996988,0.0001018392,0.00003480963,0.00007539588,0.00005049233,0.00003871469],"domain_scores_gemma":[0.9983377,0.000545372,0.0005134144,0.0001373817,0.000206538,0.000259532],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005294572,0.00003770451,0.9957843,0.00001449701,0.0001075772,0.00001469562,0.00002894439,0.0002394708,0.00007069838,0.0000109027,0.00007155169,0.003090055],"study_design_scores_gemma":[0.00002752702,0.0004073553,0.9963863,0.00001390808,0.0001214202,0.00008414588,0.00006864094,0.002511312,0.0001134714,0.0001196229,0.00013944,0.000006846353],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9987219,0.00044833,0.0002024246,0.00003955265,0.000008027292,0.00001008824,0.0003053892,0.000007632818,0.0002566284],"genre_scores_gemma":[0.9991684,0.0001432307,0.0002363091,0.00001164945,0.00001074481,0.000008474846,0.0003190153,0.000001017707,0.0001012739],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004323366,"threshold_uncertainty_score":0.01014364,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02406247591498276,"score_gpt":0.2681279119605837,"score_spread":0.244065436045601,"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."}}