{"id":"W3117001482","doi":"10.3390/ijms22010067","title":"Fluctuating NMDA Receptor Subunit Levels in Perirhinal Cortex Relate to Their Dynamic Roles in Object Memory Destabilization and Reconsolidation","year":2020,"lang":"en","type":"article","venue":"International Journal of Molecular Sciences","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph","funders":"Natural Sciences and Engineering Research Council of Canada; University of Guelph","keywords":"Perirhinal cortex; Neuroscience; Memory consolidation; NMDA receptor; Muscarinic acetylcholine receptor M1; Muscarinic acetylcholine receptor; Cholinergic; Psychology; Novelty; Receptor; Chemistry; Glutamate receptor; Hippocampus; Recognition memory; Cognition; Biochemistry","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":[0.0001032592,0.0002643621,0.0002986951,0.0002803638,0.00013128,0.0002837491,0.0001965181,0.0002853394,0.001088104],"category_scores_gemma":[0.0001683664,0.0001506296,0.0002443159,0.0001301512,0.0003317992,0.0003800048,0.0002169735,0.0005861343,0.0002273681],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003120843,"about_ca_system_score_gemma":0.0001898892,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006855335,"about_ca_topic_score_gemma":0.0009753106,"domain_scores_codex":[0.9998676,0.000007472149,0.00001221596,0.00004439013,0.00002751742,0.00004086206],"domain_scores_gemma":[0.9998683,0.000007217652,0.00005820543,0.00001571512,0.00001790433,0.00003278812],"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":[0.0002390271,0.00001361664,0.001204744,0.00002329987,0.00001034389,0.00007367422,0.00002158309,0.00001474799,0.9972821,0.00003513522,0.00001422308,0.001067352],"study_design_scores_gemma":[0.00002706108,0.0005513876,0.3339287,0.00001107988,0.00005977505,0.001100076,0.0002487094,0.0005233048,0.6625236,0.0003479292,0.0006627412,0.00001558104],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9975485,0.0008331773,0.0009452149,0.0000443217,0.00001280464,0.000008083373,0.0001671424,0.00002493752,0.0004157145],"genre_scores_gemma":[0.9977763,0.0003738039,0.0004834785,0.00003686762,0.000008075564,0.00002348023,0.0001998686,0.000007296388,0.001090851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001088104,"threshold_uncertainty_score":0.003640115,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05594121610699877,"score_gpt":0.354260856823145,"score_spread":0.2983196407161463,"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."}}