{"id":"W2905310087","doi":"10.3389/fgene.2018.00596","title":"Temporal Integrative Analysis of mRNA and microRNAs Expression Profiles and Epigenetic Alterations in Female SAMP8, a Model of Age-Related Cognitive Decline","year":2018,"lang":"en","type":"article","venue":"Frontiers in Genetics","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University Health Centre","funders":"Agència de Gestió d'Ajuts Universitaris i de Recerca; Centro de Investigación Biomédica en Red sobre Enfermedades Neurodegenerativas; Ministerio de Economía y Competitividad","keywords":"Epigenetics; DNA methylation; microRNA; Senescence; Histone; Phenotype; Biology; Gene; Gene expression; Endocrinology; DNA methyltransferase; Histone deacetylase; Acetylation; Regulation of gene expression; Internal medicine; Genetics; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002154112,0.0001473134,0.0003258251,0.0003365627,0.00003204015,0.00001017167,0.00008140085,0.0001740707,0.000003185813],"category_scores_gemma":[0.00009984065,0.0001400219,0.00005232222,0.0003559058,0.0003751713,0.000004458689,0.000112128,0.00007546776,6.995486e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009738456,"about_ca_system_score_gemma":0.00005244733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004526277,"about_ca_topic_score_gemma":0.0005204938,"domain_scores_codex":[0.9988642,0.0001083337,0.0004673332,0.000316225,0.00009972035,0.0001441336],"domain_scores_gemma":[0.9993998,0.00002234499,0.0001947945,0.0001683104,0.0001647783,0.00005001479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001194421,0.00008418689,0.3786547,0.00002064588,0.0001345243,7.547557e-7,0.001838837,0.002501093,0.6140752,0.000007641732,0.00001270177,0.0025502],"study_design_scores_gemma":[0.0007453104,0.0003516289,0.1134083,0.00007372443,0.0001582095,2.460668e-7,0.0007562562,0.06429367,0.8191862,0.000846873,0.00001981762,0.0001598106],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9448537,0.005591247,0.04901593,0.00001342292,0.00005185776,0.000259808,0.00009397739,0.000001778675,0.0001182814],"genre_scores_gemma":[0.9535748,0.001942331,0.04417002,0.00001290037,0.00001692375,0.00001383467,0.0001926121,0.00001278031,0.00006378651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2652464,"threshold_uncertainty_score":0.5709925,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01489488747292225,"score_gpt":0.2795512915982242,"score_spread":0.2646564041253019,"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."}}