{"id":"W4413005210","doi":"10.1002/jex2.70074","title":"Profiling RNA Cargo in Extracellular Vesicles From hiPSC‐Derived Neurons of Alzheimer's Disease Patients","year":2025,"lang":"en","type":"article","venue":"Journal of Extracellular Biology","topic":"Extracellular vesicles in disease","field":"Biochemistry, Genetics and Molecular Biology","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Common Fund; Canadian Institutes of Health Research; National Institute on Aging; National Cancer Institute; National Institutes of Health; National Institute of Mental Health; National Institute of Allergy and Infectious Diseases; Johns Hopkins University","keywords":"RNA; Extracellular vesicles; XIST; microRNA; Biology; Glutamatergic; Long non-coding RNA; Extracellular vesicle; Non-coding RNA; Disease; Neuroscience; Cell biology; Microvesicles; Bioinformatics; Genetics; Gene; Medicine; Glutamate receptor; Pathology","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":[0.0001561877,0.0001675746,0.0002322951,0.0004461063,0.0001864507,0.0003751384,0.0001004004,0.0002038917,0.0005033624],"category_scores_gemma":[0.0002634811,0.00006743335,0.0001767199,0.0002094555,0.0001297272,0.0001044194,0.0002567336,0.000166516,0.000216432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001335001,"about_ca_system_score_gemma":0.00008921439,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005643511,"about_ca_topic_score_gemma":0.0004859637,"domain_scores_codex":[0.9998966,0.0000109711,0.00001692912,0.00002560454,0.00003264231,0.0000172362],"domain_scores_gemma":[0.999913,0.00001578102,0.00001704588,0.000007298852,0.00003653752,0.0000103368],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0005450033,0.00002416399,0.02138748,0.00009616785,0.00004374675,0.0006187342,0.0001889487,0.0001721609,0.9697741,0.00008362484,0.00008837195,0.006977589],"study_design_scores_gemma":[0.00003228258,0.0006696926,0.2391108,0.00005315934,0.0001815102,0.00433036,0.0008759309,0.003034519,0.747072,0.0002495536,0.004360201,0.00003019379],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.996787,0.00069078,0.00131007,0.00001533791,0.00001379376,0.00002310053,0.0006167666,0.00001779966,0.0005252935],"genre_scores_gemma":[0.9951237,0.0004686421,0.001948533,0.00005643705,0.000008152602,0.00004240975,0.001516661,0.00001657156,0.0008188477],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005643511,"threshold_uncertainty_score":0.001683891,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01190459075324755,"score_gpt":0.2623616012398547,"score_spread":0.2504570104866072,"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."}}