{"id":"W4366088987","doi":"10.1101/2023.04.15.537013","title":"Natural forgetting reversibly modulates engram expression","year":2023,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Institute for Advanced Research","funders":"Air Force Office of Scientific Research; Deutsche Forschungsgemeinschaft; U.S. Air Force; Jacobs Foundation; Irish Research Council; Science Foundation Ireland","keywords":"Engram; Forgetting; Optogenetics; Recall; Neuroscience; Object (grammar); Psychology; Computer science; Cognitive psychology; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0001668706,0.000235175,0.000265806,0.0001602008,0.00006423912,0.0004435974,0.0004453292,0.0002178452,0.001358648],"category_scores_gemma":[0.000290035,0.0001157559,0.0002124538,0.00009782831,0.000417507,0.0002578623,0.0002647447,0.0009619211,0.0001724753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001893377,"about_ca_system_score_gemma":0.0001100999,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002454764,"about_ca_topic_score_gemma":0.0003509324,"domain_scores_codex":[0.9998245,0.00001613747,0.00001727689,0.00005633712,0.00004564743,0.00004021075],"domain_scores_gemma":[0.9996998,0.00006613885,0.0000974388,0.0000703125,0.00002345471,0.00004277691],"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":[0.000128882,0.00003680023,0.0002436255,0.00003754774,0.000008655529,0.0000466769,0.00001674626,0.0001115097,0.996725,0.0002352879,0.00004235979,0.002366816],"study_design_scores_gemma":[0.00001397351,0.0002740546,0.002022751,0.000005876946,0.00001772242,0.000101943,0.00001758309,0.001548493,0.9948762,0.0001986702,0.0009167478,0.00000594625],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950959,0.0007407608,0.003097951,0.00006396588,0.00003940222,0.000009402424,0.0001454585,0.0001208651,0.0006862468],"genre_scores_gemma":[0.9972669,0.0003212341,0.001119207,0.0000488977,0.0000115861,0.00001427524,0.0001486133,0.00003490674,0.00103449],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001358648,"threshold_uncertainty_score":0.004545152,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05589730899273208,"score_gpt":0.2685282807467182,"score_spread":0.2126309717539861,"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."}}