{"id":"W2768516711","doi":"10.1101/lm.046912.117","title":"Surprise and destabilize: prediction error influences episodic memory reconsolidation","year":2018,"lang":"en","type":"article","venue":"Learning & Memory","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":123,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Surprise; Episodic memory; Memory consolidation; Psychology; Context (archaeology); Cognitive psychology; Set (abstract data type); Cognition; Computer science; Communication; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006683766,0.0002033192,0.0002051138,0.0001498637,0.0006743751,0.00009077767,0.0001946225,0.0001108078,0.0005093334],"category_scores_gemma":[0.002166483,0.0001912048,0.00004595903,0.0002992715,0.0004132174,0.000575989,0.0000701333,0.0004029532,0.0003010553],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003136665,"about_ca_system_score_gemma":0.0000395727,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009702461,"about_ca_topic_score_gemma":0.00001006501,"domain_scores_codex":[0.9977676,0.000609739,0.000319375,0.0006435854,0.000304527,0.0003551543],"domain_scores_gemma":[0.9988818,0.000433074,0.0001945925,0.000276193,0.00005575631,0.0001586376],"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":[0.00007971701,0.00002488911,0.00213108,0.00003047109,0.000002415112,0.00001436784,0.001140565,0.0001012229,0.9733728,0.00005323728,0.00007275012,0.02297653],"study_design_scores_gemma":[0.0004042962,0.0004190957,0.00570573,0.00005810443,0.00002013935,0.0001204044,0.0003583761,0.002008294,0.9894792,0.0006412381,0.0005699129,0.000215168],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9947768,0.00005691944,0.0002246395,0.0002432487,0.0009689018,0.0002952459,0.000004096445,0.0003471156,0.003082978],"genre_scores_gemma":[0.9965286,0.00007607549,0.000233582,0.0005475027,0.0003165627,0.00002972337,0.000003250583,0.00002763981,0.002237033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02276136,"threshold_uncertainty_score":0.7797104,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07355665145864915,"score_gpt":0.3139142165469207,"score_spread":0.2403575650882716,"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."}}