{"id":"W2017993797","doi":"10.1523/jneurosci.2968-11.2011","title":"On the Dynamic Nature of the Engram: Evidence for Circuit-Level Reorganization of Object Memory Traces following Reactivation","year":2011,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":63,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Engram; Neuroscience; Object (grammar); Psychology; Cognitive science; Cognitive psychology; Computer science; Artificial intelligence","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":[0.0001484582,0.0001558729,0.0002329841,0.0002495098,0.00009708688,0.0003992609,0.0004508299,0.0002604493,0.001115703],"category_scores_gemma":[0.000285303,0.0001195243,0.0002158358,0.0001442513,0.0006745675,0.0006499183,0.0002882795,0.0005449316,0.0002130624],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002177326,"about_ca_system_score_gemma":0.0001628632,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004426147,"about_ca_topic_score_gemma":0.0006083495,"domain_scores_codex":[0.9999086,0.000007222522,0.000007207968,0.0000246926,0.0000297532,0.00002251651],"domain_scores_gemma":[0.9996858,0.00007335034,0.00009070594,0.0000890939,0.0000267114,0.00003443078],"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":[0.00009654734,0.00001217003,0.0008851056,0.00004394293,0.00001016877,0.0001327681,0.0000415285,0.0001037588,0.992583,0.0004956564,0.00001051903,0.005584805],"study_design_scores_gemma":[0.00001601923,0.0004042403,0.0784266,0.00001612538,0.00005859701,0.001003004,0.0001175797,0.001814465,0.9160711,0.0008273987,0.001232817,0.00001191164],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9885587,0.001880108,0.007217527,0.00008404891,0.00001626596,0.00001347743,0.00009778458,0.0001136373,0.002018465],"genre_scores_gemma":[0.9970657,0.0007806583,0.001367676,0.00003020902,0.000006867552,0.000009043159,0.0001036033,0.00001605555,0.0006202169],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001115703,"threshold_uncertainty_score":0.003732443,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2326749981051964,"score_gpt":0.3440325339957884,"score_spread":0.111357535890592,"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."}}