{"id":"W4412163837","doi":"10.1038/s41598-025-08497-y","title":"Association of CSF neurogenin-1 levels with cognitive decline and structural MRI features in older adults","year":2025,"lang":"en","type":"article","venue":"Scientific Reports","topic":"S100 Proteins and Annexins","field":"Biochemistry, Genetics and Molecular Biology","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; Northern California Institute for Research and Education; Pfizer; Novartis Pharmaceuticals Corporation; University of Southern California; Biogen; Eli Lilly and Company; Bristol-Myers Squibb; BioClinica; U.S. Department of Defense; Alzheimer's Disease Neuroimaging Initiative; Meso Scale Diagnostics; National Institute on Aging; Alzheimer's Association","keywords":"Association (psychology); Cognition; Medicine; Cognitive decline; Gerontology; Internal medicine; Psychology; Neuroscience; Dementia","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":[0.0005696499,0.0004293863,0.0004444931,0.0007143755,0.0002700702,0.0003848783,0.0002261679,0.0005103117,0.0006242575],"category_scores_gemma":[0.001934767,0.0002118231,0.0002413609,0.0005404835,0.0002153281,0.0002594015,0.0003209833,0.0003937905,0.00008552884],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001689148,"about_ca_system_score_gemma":0.0001184106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00257811,"about_ca_topic_score_gemma":0.002569388,"domain_scores_codex":[0.9998336,0.00003849907,0.00002475514,0.00004792287,0.00003007093,0.00002518753],"domain_scores_gemma":[0.9990835,0.0001700837,0.0004840385,0.00006693062,0.0000773221,0.0001181237],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005459893,0.00003138052,0.9971666,0.00001421291,0.00008106642,0.00008748451,0.00007762326,0.000044432,0.0006084231,0.000009798711,0.0000347055,0.001298395],"study_design_scores_gemma":[0.000005401351,0.00009841931,0.9994843,0.000002073576,0.00002221924,0.000138913,0.00003626457,0.0001012624,0.0000586501,0.00001763942,0.00003334304,0.000001493885],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995379,0.0002684598,0.00003365498,0.000009125199,0.000001744339,0.00000220625,0.00007289879,0.000001525582,0.00007249717],"genre_scores_gemma":[0.9996767,0.0000734921,0.00006029772,0.000008418501,0.000003873306,0.000003039605,0.00009733291,5.039904e-7,0.00007626425],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00257811,"threshold_uncertainty_score":0.005126119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003802110320015038,"score_gpt":0.2433670636916774,"score_spread":0.2395649533716624,"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."}}