{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000267896,0.0001779429,0.0004616992,0.0004764668,0.0001880981,0.0004032259,0.0001287883,0.0001822868,0.0009758204],"category_scores_gemma":[0.0004494018,0.0001319101,0.0004523628,0.0005312508,0.000138673,0.0001261256,0.0002671189,0.0003283479,0.0002645265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000170152,"about_ca_system_score_gemma":0.0001661053,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007211304,"about_ca_topic_score_gemma":0.001124557,"domain_scores_codex":[0.9997284,0.00002961855,0.0000156646,0.0001384574,0.00004263493,0.0000452106],"domain_scores_gemma":[0.9998802,0.00004357642,0.00003330113,0.00001229509,0.00001794318,0.00001263483],"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":[0.002559168,0.0001447434,0.1909492,0.0005860869,0.0006123672,0.0006317815,0.0006656369,0.001419996,0.7376325,0.0009088973,0.001593896,0.06229558],"study_design_scores_gemma":[0.00002572205,0.0002746858,0.9509352,0.00003119422,0.0002824784,0.0007413405,0.0002457306,0.004262371,0.03603661,0.0008544951,0.006279405,0.00003068955],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883305,0.001994928,0.003179183,0.00006379194,0.00002046289,0.00002431547,0.005106057,0.0000803959,0.001200479],"genre_scores_gemma":[0.9885601,0.0006124978,0.004091007,0.0001654234,0.0000156886,0.0001058369,0.005018014,0.00004671702,0.001384629],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009758204,"threshold_uncertainty_score":0.003264427,"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."}}