{"id":"W3087206144","doi":"10.3390/ijms21186918","title":"Epigenetic Mechanisms of Learning and Memory: Implications for Aging","year":2020,"lang":"en","type":"review","venue":"International Journal of Molecular Sciences","topic":"Epigenetics and DNA Methylation","field":"Biochemistry, Genetics and Molecular Biology","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Epigenome; Epigenetics; Cognitive aging; Neuroscience; Cognitive decline; Cognition; Brain aging; Psychology; Episodic memory; Biology; Developmental psychology; Cognitive psychology; DNA methylation; Medicine; Disease; Dementia; Genetics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004018034,0.0006065695,0.0007556101,0.001232453,0.0003247004,0.0007047911,0.0005838049,0.001062302,0.002814919],"category_scores_gemma":[0.000520419,0.0001413158,0.0003215965,0.001168595,0.0006292468,0.001248836,0.0006908104,0.001429059,0.001043534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005714475,"about_ca_system_score_gemma":0.001047602,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000961402,"about_ca_topic_score_gemma":0.001457424,"domain_scores_codex":[0.9999105,0.00001842412,0.00001150207,0.00001986363,0.00002813435,0.00001161985],"domain_scores_gemma":[0.9998153,0.00008388487,0.00002209778,0.000006203835,0.00004792794,0.00002469638],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005466748,0.00003904335,0.0003075173,0.01026274,0.00006558633,0.0002728722,0.0001631044,0.0004156299,0.004048895,0.01307075,0.02110283,0.9501964],"study_design_scores_gemma":[0.00000752431,0.00008673442,0.001692754,0.002490787,0.00007487449,0.00164427,0.0001486472,0.0001288965,0.0009043943,0.009910376,0.9828871,0.00002364983],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001324287,0.9981505,0.0002049216,0.0005223247,0.0002018809,0.00000210548,0.00001253828,0.000006263035,0.0007669886],"genre_scores_gemma":[0.00101938,0.9978704,0.0002023141,0.0001859712,0.0001853301,0.000004150511,0.0000165874,0.000001066229,0.0005148202],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002814919,"threshold_uncertainty_score":0.009416819,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03622779512571458,"score_gpt":0.3726530271762448,"score_spread":0.3364252320505302,"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."}}