{"id":"W2774694784","doi":"10.1038/s41593-017-0030-z","title":"The C-terminal tails of endogenous GluA1 and GluA2 differentially contribute to hippocampal synaptic plasticity and learning","year":2017,"lang":"en","type":"article","venue":"Nature Neuroscience","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":137,"is_retracted":false,"has_abstract":false,"ca_institutions":"Lunenfeld-Tanenbaum Research Institute; SickKids Foundation; Mount Sinai Hospital; Hospital for Sick Children; University of Toronto","funders":"","keywords":"Neuroscience; Synaptic plasticity; Metaplasticity; Long-term potentiation; AMPA receptor; Synaptic scaling; Glutamatergic; Nonsynaptic plasticity; Hippocampal formation; Neuronal memory allocation; Neurotransmission; Hippocampus; Excitatory postsynaptic potential; Biology; NMDA receptor; Synaptic augmentation; Glutamate receptor; Receptor; Inhibitory postsynaptic potential","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":[0.0001874316,0.0003892759,0.000298347,0.0002181472,0.0003538703,0.0008091689,0.0004327128,0.0005635896,0.001604821],"category_scores_gemma":[0.0003290435,0.0002428602,0.0004459309,0.0001890646,0.0006547279,0.0009383212,0.0004963663,0.001252163,0.0007440498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005929399,"about_ca_system_score_gemma":0.0005737421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009278782,"about_ca_topic_score_gemma":0.001703651,"domain_scores_codex":[0.9998245,0.0000154988,0.00001449803,0.00003749312,0.00003331885,0.00007471047],"domain_scores_gemma":[0.9996953,0.00004272372,0.00007405993,0.00003795602,0.00003923556,0.0001108819],"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":[0.0004157303,0.00001398996,0.0002167633,0.00002146286,0.000008227841,0.00006184303,0.0000132256,0.00009169088,0.9973705,0.0004094627,0.00004909231,0.001328078],"study_design_scores_gemma":[0.00006248,0.0001457971,0.01716955,0.0000192648,0.00006714591,0.0006778354,0.0001178762,0.00214713,0.9757849,0.000817463,0.002967223,0.00002338993],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934936,0.001678341,0.002626194,0.0001715235,0.00006077552,0.000009716131,0.0001870394,0.0000350448,0.001737753],"genre_scores_gemma":[0.9939597,0.0009637245,0.001860241,0.0001629693,0.00002432594,0.00002215899,0.0003044952,0.00004982009,0.002652709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001604821,"threshold_uncertainty_score":0.00536865,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04193954054278534,"score_gpt":0.3354260140292497,"score_spread":0.2934864734864643,"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."}}