{"id":"W3018303568","doi":"10.1038/s41467-020-15763-2","title":"Feature-specific neural reactivation during episodic memory","year":2020,"lang":"en","type":"article","venue":"Nature Communications","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Baycrest Hospital; University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Episodic memory; Feature (linguistics); Computer science; Recall; Voxel; Pattern recognition (psychology); Artificial intelligence; Neural correlates of consciousness; Neuroscience; Psychology; Cognitive psychology; Cognition","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":[0.00006460625,0.0001328258,0.0001178424,0.00006873236,0.0005318276,0.00007896889,0.0008869002,0.0001749081,0.00002027607],"category_scores_gemma":[0.0005576574,0.0001262913,0.00007586749,0.0006342937,0.0001032415,0.0003093905,0.000291393,0.001395682,0.00006360079],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005021605,"about_ca_system_score_gemma":0.00001511814,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001839362,"about_ca_topic_score_gemma":0.000008927067,"domain_scores_codex":[0.9989561,0.0001769055,0.0001431614,0.0003284285,0.0002191393,0.0001761994],"domain_scores_gemma":[0.9984246,0.0003056171,0.0001148792,0.0009988827,0.0000562147,0.00009977179],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003410967,0.0000417379,0.0001562056,0.000007420544,0.000002517395,0.00000342099,0.000151095,0.00005625896,0.9809577,0.0102019,0.005646741,0.002740884],"study_design_scores_gemma":[0.001500576,0.0001663845,0.05715925,0.00004257759,0.00003391058,0.0001115796,0.0002211388,0.05145659,0.4140096,0.0008979646,0.473502,0.000898396],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7725835,0.001407987,0.0001180914,0.21308,0.0007254623,0.000574025,0.00004078386,0.0005590739,0.01091111],"genre_scores_gemma":[0.9936073,0.0004659903,0.00043412,0.004929341,0.0001551775,0.00002324747,0.00004372585,0.00002281733,0.0003182165],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5669481,"threshold_uncertainty_score":0.6063619,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04926386709516782,"score_gpt":0.2788775399212947,"score_spread":0.2296136728261268,"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."}}