{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00005767477,0.0001263552,0.0001059216,0.00004107376,0.00006092146,0.000005596163,0.0001751693,0.00007043292,0.0001292976],"category_scores_gemma":[0.00002930502,0.0001292398,0.0000429813,0.00008069901,0.0001563977,0.000002517682,0.0001347063,0.00006528204,0.0000196307],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000003369297,"about_ca_system_score_gemma":0.00002961389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001977575,"about_ca_topic_score_gemma":0.000003554459,"domain_scores_codex":[0.9990625,0.000110978,0.0001935612,0.0003347339,0.00009589694,0.0002023593],"domain_scores_gemma":[0.9995935,0.00001257189,0.00009360144,0.0001752458,0.00005878099,0.00006631125],"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":[0.00020962,0.00006754971,0.02095549,0.000008787945,0.00001148202,0.000002776919,0.00001038698,0.000008006175,0.9634635,0.000001885916,0.00893129,0.006329155],"study_design_scores_gemma":[0.0005069219,0.0004296259,0.2848946,0.000001763909,0.00001085323,0.00001503699,0.000001046688,0.000038224,0.7075202,0.000007739583,0.006487534,0.0000864032],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9980794,0.0001910068,0.0001895721,0.0000844625,0.0004800366,0.0001483541,0.00001021564,0.00001109952,0.0008058238],"genre_scores_gemma":[0.9982181,0.0001956339,0.00006037515,0.00105499,0.00007301057,0.000009674396,0.00005169625,0.00002497973,0.0003115587],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2639391,"threshold_uncertainty_score":0.5270244,"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."}}