{"id":"W4410088540","doi":"10.1016/j.nicl.2025.103796","title":"Exploring the effect of multi-modal intervention against cognitive decline on atrophy and small vessel disease imaging markers in the AgeWell.de imaging study","year":2025,"lang":"en","type":"article","venue":"NeuroImage Clinical","topic":"Dementia and Cognitive Impairment Research","field":"Medicine","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Bundesministerium für Bildung und Forschung; Deutsche Forschungsgemeinschaft","keywords":"Atrophy; Disease; Cognition; Cognitive decline; Magnetic resonance imaging; Neuroimaging; Neuroscience; Intervention (counseling); Medicine; Functional imaging; Psychology; Physical medicine and rehabilitation; Pathology; Dementia; Radiology; Psychiatry","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004163075,0.0001916093,0.0003312546,0.0001868301,0.0001165821,0.00007408013,0.0002084328,0.00001703958,0.000007412853],"category_scores_gemma":[0.004242836,0.0001161656,0.0002417076,0.0002926715,0.0003501973,0.0001084061,0.0002867921,0.0007527795,0.000004709782],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002544491,"about_ca_system_score_gemma":0.00005298397,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003821211,"about_ca_topic_score_gemma":0.000009037949,"domain_scores_codex":[0.9960191,0.002274984,0.0005818732,0.0004784589,0.0003336601,0.0003119836],"domain_scores_gemma":[0.9955959,0.003777751,0.000102709,0.0003158336,0.00009599494,0.0001118398],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.003931724,0.001393646,0.8330575,0.0001400881,0.00006009149,0.0007320606,0.0001534186,0.000001436747,0.0001857808,0.000002020844,0.00002904005,0.1603132],"study_design_scores_gemma":[0.01009041,0.00149215,0.9813781,0.0006055222,0.0003456293,0.00000428614,0.001540033,0.004223544,0.0001949885,0.00001298772,0.00003422673,0.00007814023],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.994957,0.0001607296,0.0003977277,0.002018212,0.0001746023,0.001791291,0.000007219782,0.00002273258,0.0004705121],"genre_scores_gemma":[0.9978634,0.0001439164,0.00001923525,0.001613071,0.00007214861,0.0001987097,0.00001106548,0.00001856063,0.00005988786],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602351,"threshold_uncertainty_score":0.5079378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07170361611409523,"score_gpt":0.4151172985789525,"score_spread":0.3434136824648573,"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."}}