{"id":"W3081827990","doi":"10.3390/biology9090251","title":"Differential Expression and miRNA–Gene Interactions in Early and Late Mild Cognitive Impairment","year":2020,"lang":"en","type":"article","venue":"Biology","topic":"MicroRNA in disease regulation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute on Aging; National Institute of Biomedical Imaging and Bioengineering; Canadian Institutes of Health Research; National Institutes of Health; H. Lundbeck A/S; Servier; Eisai; Genentech; IXICO; Conselho Nacional de Desenvolvimento Científico e Tecnológico; Coordenação de Aperfeiçoamento de Pessoal de Nível Superior; Northern California Institute for Research and Education; Pfizer; Biogen; BioClinica; F. Hoffmann-La Roche; University of Southern California; Eli Lilly and Company; U.S. Department of Defense; Meso Scale Diagnostics; Alzheimer's Disease Neuroimaging Initiative; Novartis Pharmaceuticals Corporation; Bristol-Myers Squibb; Alzheimer's Association; Foundation for the National Institutes of Health","keywords":"Biology; PSEN1; microRNA; Neurodegeneration; Transcriptome; Gene; Alzheimer's disease; Dementia; Gene expression; Microarray; Microarray analysis techniques; Epigenetics; Genetics; Bioinformatics; Neuroscience; Disease; Computational biology; Amyloid precursor protein; Internal medicine; Medicine","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00001695716,0.00007632269,0.00007957937,0.00002192025,0.00002530541,0.000007744394,0.00002899689,0.00006448216,0.0000217568],"category_scores_gemma":[0.00002144249,0.00006915299,0.00001835759,0.0000233928,0.0000559352,0.000002570594,0.00009631539,0.00004476591,0.00000210958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000004398856,"about_ca_system_score_gemma":0.000009692194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001572037,"about_ca_topic_score_gemma":0.00001596135,"domain_scores_codex":[0.9995044,0.00005550264,0.00009768257,0.0002266714,0.00001714574,0.0000985449],"domain_scores_gemma":[0.9998232,0.000009646061,0.00003526725,0.00004936281,0.00001630578,0.00006624468],"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":[0.000202325,0.00002368412,0.04144495,0.000007190154,0.00001439921,0.000001140803,0.0001035876,5.423192e-7,0.9576589,0.000006810039,0.00005246116,0.0004839459],"study_design_scores_gemma":[0.001097413,0.0002454223,0.5323189,0.00001710145,0.0000130175,0.000004498506,0.00002768888,0.0001090328,0.4650187,0.00004405484,0.000992636,0.0001115556],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9986514,0.0004654079,0.0003773805,0.0002549804,0.00004839032,0.0001403665,0.00003541547,0.000005484884,0.00002115741],"genre_scores_gemma":[0.9994175,0.00008005601,0.00009762605,0.0001374404,0.00008628728,0.00001520664,0.0001384178,0.000006432312,0.000021023],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4926403,"threshold_uncertainty_score":0.2819977,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01497361443074543,"score_gpt":0.2715165577328297,"score_spread":0.2565429433020843,"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."}}