{"id":"W4396921631","doi":"10.3389/fnagi.2024.1356656","title":"Seeing beyond the symptoms: biomarkers and brain regions linked to cognitive decline in Alzheimer’s disease","year":2024,"lang":"en","type":"article","venue":"Frontiers in Aging Neuroscience","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Canadian Institutes of Health Research; National Institutes of Health; Genentech; IXICO; H. Lundbeck A/S; Pfizer; Novartis Pharmaceuticals Corporation; Eisai; U.S. Department of Defense; Meso Scale Diagnostics; Servier; BioClinica; Bristol-Myers Squibb; Eli Lilly and Company; Biogen","keywords":"Cognitive decline; Dementia; Clinical Dementia Rating; Entorhinal cortex; Neuroimaging; Cognition; Superior frontal gyrus; Psychology; Diffusion MRI; Biomarker; Montreal Cognitive Assessment; Alzheimer's disease; Neuroscience; Medicine; Positron emission tomography; Disease; Magnetic resonance imaging; Internal medicine; Hippocampus; Radiology","routes":{"ca_aff":false,"ca_fund":true,"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":[0.001037798,0.0005882442,0.0004652703,0.001164526,0.0002987538,0.0007111805,0.0003066778,0.0004491368,0.0005111654],"category_scores_gemma":[0.001943909,0.0001238287,0.0003009774,0.001211109,0.0002375614,0.0006855335,0.0003641238,0.0003718643,0.0001151231],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000162949,"about_ca_system_score_gemma":0.0002983189,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002306815,"about_ca_topic_score_gemma":0.0029786,"domain_scores_codex":[0.9998263,0.00004703816,0.00002182799,0.00004533839,0.00004027268,0.0000193389],"domain_scores_gemma":[0.999449,0.0001059009,0.0002840168,0.00002697486,0.00008335001,0.0000507462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003775306,0.00006996457,0.9754373,0.00009054346,0.0001654663,0.0001310429,0.0001236535,0.0003756692,0.001630055,0.00005870855,0.000269824,0.02127034],"study_design_scores_gemma":[0.00001076352,0.0002282051,0.9964973,0.00003923976,0.0001194113,0.0003736189,0.000124953,0.001264767,0.0004314314,0.000390851,0.0005119673,0.000007365265],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9948532,0.003821064,0.0005532469,0.0001389654,0.00001593739,0.000008475102,0.0002724482,0.0000093676,0.0003274152],"genre_scores_gemma":[0.9983076,0.0006539903,0.0006451808,0.00003384567,0.00002339565,0.000005088476,0.0002169922,0.000001387787,0.0001125116],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002306815,"threshold_uncertainty_score":0.005488455,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02365266459825343,"score_gpt":0.3309727202044808,"score_spread":0.3073200556062273,"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."}}