{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006733455,0.0002765581,0.0004042423,0.0001556383,0.0001867379,0.0007405448,0.0003795996,0.0004708912,0.002343749],"category_scores_gemma":[0.008814045,0.0002272253,0.0001773404,0.00007612629,0.0005479559,0.0008188233,0.0006721773,0.0007484508,0.0001583646],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002282922,"about_ca_system_score_gemma":0.0003271658,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008124897,"about_ca_topic_score_gemma":0.0008471246,"domain_scores_codex":[0.9995209,0.0001459958,0.00003616297,0.0001283589,0.0001113125,0.0000572585],"domain_scores_gemma":[0.9980057,0.001001891,0.0004535977,0.0002664339,0.00008483932,0.0001875892],"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":[0.01178808,0.001912387,0.064207,0.0005225757,0.000276151,0.0009517818,0.002784134,0.002462915,0.7797484,0.002851838,0.001034167,0.1314605],"study_design_scores_gemma":[0.0005123414,0.00801417,0.7512559,0.0001649875,0.0005156096,0.001710067,0.0013662,0.01696699,0.1963735,0.0182986,0.004682307,0.0001394955],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9972222,0.0001944843,0.001202917,0.00009411653,0.00002357248,0.00001072991,0.00002608405,0.0000176005,0.001208425],"genre_scores_gemma":[0.9986707,0.0001211085,0.000702681,0.00006968353,0.00001290514,0.00001212949,0.00004675151,0.00001273747,0.000351405],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002343749,"threshold_uncertainty_score":0.007840633,"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."}}