{"id":"W4410516946","doi":"10.3390/ijms26104897","title":"Deficits of Alzheimer’s Disease Neuropsychological Architecture Correlate with Specific Exosomal mRNA Expression: Evidence of a Continuum?","year":2025,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Universidad del Norte; Ministerio de Ciencia, Tecnología e Innovación","keywords":"Neuropsychology; Biology; Disease; Dementia; Cohort; microRNA; Neuropsychological assessment; Psychology; Cognition; Oncology; Neuroscience; Internal medicine; Bioinformatics; Medicine; Gene; Genetics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008854746,0.0003619993,0.00044304,0.001120176,0.0002320229,0.000827136,0.0003245915,0.0003943872,0.00138316],"category_scores_gemma":[0.002797341,0.0002634708,0.0002691746,0.0008030066,0.0007420771,0.0004981005,0.0006721885,0.0004231701,0.0003011014],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002026835,"about_ca_system_score_gemma":0.0002472326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001584595,"about_ca_topic_score_gemma":0.001580846,"domain_scores_codex":[0.9994524,0.0001369358,0.00005699293,0.0002016672,0.0000855921,0.00006644353],"domain_scores_gemma":[0.9982331,0.0005739352,0.0005926324,0.0003131909,0.0001547229,0.0001324183],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000330089,0.00003302825,0.9851758,0.00002860664,0.0001433283,0.0001773392,0.0002187693,0.0001106192,0.004464259,0.00009476338,0.00007717415,0.009146161],"study_design_scores_gemma":[0.000003933383,0.00005749633,0.9984162,0.000007027102,0.00003079337,0.0002580247,0.0001676596,0.0003290796,0.0002724931,0.0003157742,0.0001360883,0.000005445998],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979448,0.0005654649,0.000664482,0.00009102069,0.000006217294,0.000007211713,0.0001853379,0.00001489835,0.0005206564],"genre_scores_gemma":[0.999283,0.0001491906,0.0002747694,0.00002660406,0.000007685753,0.000006683677,0.000159441,0.000005019352,0.00008757225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001584595,"threshold_uncertainty_score":0.004682899,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01977936264826464,"score_gpt":0.3071179196883299,"score_spread":0.2873385570400653,"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."}}