{"id":"W2998470023","doi":"10.1126/science.aaw4325","title":"Memory engrams: Recalling the past and imagining the future","year":2020,"lang":"en","type":"review","venue":"Science","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":1128,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto; Canadian Institute for Advanced Research","funders":"RIKEN Brain Science Institute; JPB Foundation; Canadian Institutes of Health Research; Natural Sciences and Engineering Research Council of Canada; National Institute of Mental Health; Canadian Institute for Advanced Research; Howard Hughes Medical Institute","keywords":"Engram; Psychology; Cognitive science; History; Cognitive psychology; Neuroscience","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":[0.0005937155,0.001121957,0.001193912,0.002958325,0.0003898664,0.001569059,0.001107882,0.001640155,0.002758901],"category_scores_gemma":[0.0008956058,0.0002630208,0.0003639065,0.002016542,0.001834938,0.002976422,0.001198876,0.002483179,0.002538873],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009189709,"about_ca_system_score_gemma":0.001063291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001124575,"about_ca_topic_score_gemma":0.001947603,"domain_scores_codex":[0.9998218,0.00004108428,0.00002547162,0.00002914896,0.00006637301,0.00001605944],"domain_scores_gemma":[0.9997409,0.0001459229,0.00003128253,0.000009144886,0.00004578255,0.00002703114],"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":[0.00004752042,0.00004081172,0.0001160555,0.008751479,0.00004937079,0.0001432512,0.0002878967,0.0002304272,0.00089815,0.02279003,0.0326824,0.9339626],"study_design_scores_gemma":[0.000006962543,0.00003603633,0.0004650271,0.002381519,0.0000240588,0.001248878,0.0001066655,0.00004007247,0.0002834442,0.01028678,0.985105,0.00001565927],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00007566918,0.9974132,0.0002359975,0.0004182623,0.0002919259,0.000003593621,0.000008930556,0.000007708009,0.00154465],"genre_scores_gemma":[0.0007673984,0.9976139,0.0001924666,0.000332444,0.0002726093,0.000007705209,0.00001853128,0.000002625513,0.0007923232],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002958325,"threshold_uncertainty_score":0.009229422,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1449644157922768,"score_gpt":0.3669200611255151,"score_spread":0.2219556453332383,"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."}}