{"id":"W2488937931","doi":"10.1126/science.aaf0594","title":"Competition between engrams influences fear memory formation and recall","year":2016,"lang":"en","type":"article","venue":"Science","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":442,"is_retracted":false,"has_abstract":true,"ca_institutions":"Hospital for Sick Children; University of Toronto","funders":"Army Research Laboratory; National Institute of Mental Health; Canadian Institutes of Health Research; Defense Advanced Research Projects Agency; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada; National Institute on Drug Abuse; Brain and Behavior Research Foundation; Howard Hughes Medical Institute","keywords":"Engram; Recall; Amygdala; Set (abstract data type); Psychology; Neuroscience; Competition (biology); Cognitive psychology; Computer science; Biology","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":[0.0002140432,0.0001958845,0.0003524215,0.0001853037,0.000124778,0.0004916321,0.0003332994,0.0002591975,0.0009722618],"category_scores_gemma":[0.0006048959,0.0001945829,0.0001733946,0.00009100958,0.0004776039,0.0004484902,0.0006140323,0.0005845212,0.0001456098],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004801407,"about_ca_system_score_gemma":0.0002117515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007039124,"about_ca_topic_score_gemma":0.001657685,"domain_scores_codex":[0.9996551,0.00004096562,0.00002150311,0.00008726981,0.00009025911,0.0001049668],"domain_scores_gemma":[0.9995704,0.00008702839,0.0001248097,0.00003564818,0.00003202991,0.000150128],"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":[0.0003205152,0.0000258587,0.003058854,0.0000115498,0.00001157792,0.00002454181,0.00003106962,0.0001528504,0.9934555,0.0002918508,0.00002827653,0.002587566],"study_design_scores_gemma":[0.00006721005,0.001210317,0.244698,0.00001849139,0.000135653,0.0004610541,0.000245161,0.01586903,0.7334434,0.002234684,0.001574624,0.00004227444],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9988908,0.0001651581,0.0004078938,0.00002245311,0.000003248369,0.000001310896,0.00001499802,0.00001198194,0.0004822055],"genre_scores_gemma":[0.9993253,0.00007374832,0.0002124909,0.00001558624,0.000002459752,0.00000262431,0.00002370411,0.000009683457,0.000334415],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0009722618,"threshold_uncertainty_score":0.003483713,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09858613174184758,"score_gpt":0.3173978409713866,"score_spread":0.218811709229539,"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."}}