{"id":"W2797642372","doi":"10.1101/303248","title":"Changes in patterns of neural activity underlie a time-dependent transformation of memory in rats and humans","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"University Health Network; Trent University; Baycrest Hospital; York University; University of Toronto","funders":"Japan Atomic Energy Agency; Canadian Institutes of Health Research; University of Toronto; Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Neuroscience; Episodic memory; Memory consolidation; Neocortex; Hippocampus; Engram; Psychology; Long-term memory; Prefrontal cortex; Context (archaeology); Hippocampal formation; Semantic memory; Explicit memory; Perception; Neuroanatomy of memory; Cognition; 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":[0.0002230888,0.0001984902,0.0001900899,0.0003683652,0.0001147902,0.0002083137,0.0001528355,0.0002413359,0.001245654],"category_scores_gemma":[0.0004472777,0.0001134829,0.0001313192,0.00008561501,0.0009099434,0.0002266666,0.0002543586,0.0003571408,0.0001407406],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001357502,"about_ca_system_score_gemma":0.00010137,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001025508,"about_ca_topic_score_gemma":0.001081891,"domain_scores_codex":[0.9999108,0.00001708018,0.000005413735,0.00003652239,0.00001532543,0.00001480488],"domain_scores_gemma":[0.999859,0.00001550408,0.00005299287,0.00003982686,0.00001286027,0.00001973435],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.005206194,0.0005822619,0.1641927,0.0001713674,0.0003126805,0.001354011,0.001122939,0.001096413,0.7260051,0.002991936,0.00167049,0.09529391],"study_design_scores_gemma":[0.00006489203,0.001693675,0.9491418,0.00002549104,0.00006311778,0.002196745,0.0003611472,0.001153097,0.04048157,0.002425899,0.002355791,0.00003680936],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967766,0.0002574271,0.001694557,0.0001182426,0.00001464525,0.000009784814,0.000125393,0.0000434113,0.0009599482],"genre_scores_gemma":[0.9987018,0.00009889198,0.0006417312,0.0000512677,0.000005806758,0.00001151414,0.00007672574,0.000006820228,0.0004054072],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001245654,"threshold_uncertainty_score":0.00416708,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04881867804668824,"score_gpt":0.2638686741489695,"score_spread":0.2150499961022812,"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."}}