{"id":"W4411224334","doi":"10.1002/alz.70080","title":"Presynaptic loss and axonal degeneration synergistically correlate with longitudinal neurodegeneration and cognitive decline","year":2025,"lang":"en","type":"article","venue":"Alzheimer s & Dementia","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Shenzhen Science and Technology Innovation Program; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Servier; Eisai; Genentech; IXICO; National Natural Science Foundation of China; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; University of California, San Diego; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; Alzheimer's Association","keywords":"Neurodegeneration; Degeneration (medical); Neuroscience; Cognitive decline; Cognition; Axonal degeneration; Psychology; Medicine; Pathology; Dementia; 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":[0.0008190278,0.0005433099,0.0004174322,0.0007304042,0.0003899275,0.0007088735,0.0003785037,0.0004677374,0.00187407],"category_scores_gemma":[0.001570481,0.0002314917,0.0003918387,0.0005830569,0.0003790796,0.0005879292,0.0007453496,0.0005483742,0.0003052287],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003141944,"about_ca_system_score_gemma":0.0003978407,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002104703,"about_ca_topic_score_gemma":0.002963318,"domain_scores_codex":[0.9997137,0.00005183152,0.00002794027,0.0001098402,0.00005891564,0.00003779579],"domain_scores_gemma":[0.9981881,0.0002211255,0.001056534,0.0001370503,0.0002167249,0.0001804581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000733844,0.00005992477,0.9875875,0.0000566152,0.0001779458,0.0002156873,0.0001021291,0.000131688,0.005059129,0.00003550208,0.000120016,0.005720167],"study_design_scores_gemma":[0.000002466485,0.0001443085,0.997776,0.00001355612,0.00006218997,0.0005712517,0.00005572935,0.0002258807,0.0008794469,0.0001235423,0.0001408069,0.000004817247],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973063,0.001125245,0.0004560297,0.00005386783,0.000007402658,0.000009817578,0.0003754629,0.00002916021,0.0006365899],"genre_scores_gemma":[0.9988585,0.0001998907,0.0003343037,0.0000238874,0.00001062857,0.00001009332,0.0002252611,0.000004273836,0.0003332383],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002104703,"threshold_uncertainty_score":0.006269336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01766997348081715,"score_gpt":0.2957873013934734,"score_spread":0.2781173279126563,"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."}}