{"id":"W2893019408","doi":"10.1016/j.neuropharm.2018.09.035","title":"Regulation of hippocampal long term depression by Neuroligin 1","year":2018,"lang":"en","type":"article","venue":"Neuropharmacology","topic":"Genetics and Neurodevelopmental Disorders","field":"Biochemistry, Genetics and Molecular Biology","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"Canada Research Chairs; Hospital for Sick Children; University of Toronto","funders":"National Postdoctoral Program for Innovative Talents; China Postdoctoral Science Foundation; Natural Science Foundation of Jiangsu Province; National Natural Science Foundation of China; Canadian Institutes of Health Research; Sick Kids Foundation; Natural Sciences and Engineering Research Council of Canada; Fondation Brain Canada","keywords":"Neuroligin; Synaptic plasticity; NMDA receptor; Neuroscience; Metabotropic glutamate receptor; Long-term depression; Postsynaptic potential; Biology; Postsynaptic density; Hippocampal formation; Long-term potentiation; Glutamate receptor; Metaplasticity; Dendritic spine; Synapse; AMPA receptor; Hippocampus; Receptor; Genetics","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":[0.00007163496,0.0002536214,0.0001168832,0.0001261013,0.0001594323,0.0002813712,0.0002700782,0.0001650045,0.0004627981],"category_scores_gemma":[0.0001026748,0.0001058162,0.0001621996,0.00004762053,0.0002580787,0.0001427356,0.0002598562,0.0003336574,0.0001674947],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007726821,"about_ca_system_score_gemma":0.0002088841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002690327,"about_ca_topic_score_gemma":0.00614285,"domain_scores_codex":[0.9999517,0.000006169491,0.000002710661,0.00001025325,0.000009807635,0.00001935954],"domain_scores_gemma":[0.9999418,0.000005770692,0.00002567734,0.000004545237,0.000008162714,0.00001407536],"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":[0.0002747559,0.00001288745,0.001536943,0.00001978976,0.00001388451,0.0002804032,0.00002564019,0.0001525918,0.9952083,0.0004823961,0.000102667,0.001889711],"study_design_scores_gemma":[0.0001122059,0.0003684588,0.1395739,0.00002218864,0.00008701348,0.001226804,0.0004067907,0.00348299,0.8491908,0.001185503,0.004317428,0.00002594288],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.995437,0.001701199,0.001010354,0.0001919216,0.00002423497,0.00000458204,0.0001157443,0.00001993817,0.001495019],"genre_scores_gemma":[0.9967006,0.0008272844,0.0004656516,0.00003918785,0.000003847215,0.000005477316,0.0001379577,0.000007180822,0.001812838],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002690327,"threshold_uncertainty_score":0.005606234,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007502516341689801,"score_gpt":0.2647117943900161,"score_spread":0.2572092780483263,"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."}}