{"id":"W4391579436","doi":"10.1007/s12264-023-01171-1","title":"MDGA2 Constrains Glutamatergic Inputs Selectively onto CA1 Pyramidal Neurons to Optimize Neural Circuits for Plasticity, Memory, and Social Behavior","year":2024,"lang":"en","type":"article","venue":"Neuroscience Bulletin","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University","funders":"Zhejiang University; Natural Science Foundation of Zhejiang Province; National Natural Science Foundation of China","keywords":"Neuroscience; Neuroligin; Glutamatergic; Excitatory postsynaptic potential; Postsynaptic potential; Silent synapse; Hippocampus; Inhibitory postsynaptic potential; Biology; Synaptic plasticity; Long-term potentiation; Synapse; Pyramidal cell; Neurotransmission; Glutamate receptor; Receptor","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts","scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.0004540121,0.0005567287,0.000472489,0.0005984667,0.001547344,0.001117586,0.001246381,0.0001522816,0.0001097024],"category_scores_gemma":[0.001395244,0.000537346,0.0001787487,0.001367243,0.002046035,0.0004077621,0.0006616248,0.0008431225,0.0001480554],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009286228,"about_ca_system_score_gemma":0.0003414605,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001721334,"about_ca_topic_score_gemma":0.000007093251,"domain_scores_codex":[0.993753,0.0004197715,0.0005221104,0.002560847,0.001026485,0.001717773],"domain_scores_gemma":[0.9978107,0.001123206,0.00009651965,0.0002596039,0.0001107313,0.0005992207],"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":[0.00009242269,0.0001934931,0.00009786515,0.00006439829,0.000001323978,0.0007360856,0.0003720164,0.0001809029,0.9906998,0.0004811923,0.004014125,0.003066364],"study_design_scores_gemma":[0.001627387,0.002791703,0.006660794,0.00004171268,0.00009572915,0.001998744,0.00006129307,0.01642535,0.922393,0.00006442303,0.0467056,0.001134282],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9790433,0.00001567413,0.0006041285,0.01445426,0.002608164,0.002064366,0.0003272112,0.0005237397,0.0003591298],"genre_scores_gemma":[0.9810486,0.00002995946,0.00004989473,0.01639776,0.0002555266,0.0005435147,9.307465e-7,0.00009348451,0.001580368],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06830683,"threshold_uncertainty_score":0.9999194,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06436589885542462,"score_gpt":0.3454379593082791,"score_spread":0.2810720604528545,"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."}}