{"id":"W2946123909","doi":"10.1002/jnr.24441","title":"The impact of postsynaptic density 95 blocking peptide (Tat‐NR2B9c) and an iNOS inhibitor (1400W) on proteomic profile of the hippocampus in C57BL/6J mouse model of kainate‐induced epileptogenesis","year":2019,"lang":"en","type":"article","venue":"Journal of Neuroscience Research","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Institute of Neurological Disorders and Stroke; University of Liverpool; Medical Research Council; National Institute for Health and Care Research; Foundation for the National Institutes of Health","keywords":"Epileptogenesis; Kainate receptor; Glial fibrillary acidic protein; Status epilepticus; Postsynaptic density; Pharmacology; Epilepsy; Chemistry; Neuroscience; Postsynaptic potential; Biology; Cell biology; Glutamate receptor; Receptor; AMPA receptor; Biochemistry; Immunology","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":[0.0001691983,0.0004154512,0.0004637068,0.0003426787,0.0001493943,0.0002808665,0.0001988529,0.000304187,0.0005730786],"category_scores_gemma":[0.00008695401,0.0001825561,0.0003007161,0.0002084488,0.0002564014,0.0002558625,0.000107663,0.0005298048,0.0001739759],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752466,"about_ca_system_score_gemma":0.000194056,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005724814,"about_ca_topic_score_gemma":0.001091413,"domain_scores_codex":[0.9998615,0.00001229832,0.00001367049,0.00003399547,0.00003861512,0.00003985804],"domain_scores_gemma":[0.9998888,0.000007543032,0.00003169762,0.000006398154,0.00001825774,0.00004731926],"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":[0.0007854067,0.00008484367,0.0001971409,0.00004353713,0.00001134117,0.00003409684,0.00001034027,0.00002295605,0.9981939,0.00001483021,0.00002608502,0.0005755384],"study_design_scores_gemma":[0.00007814844,0.002459444,0.01910138,0.00001192038,0.00009944215,0.0002760046,0.00006152672,0.0008258787,0.9761164,0.00004468419,0.0009118344,0.00001311562],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969105,0.001390474,0.0005750429,0.00007527413,0.0000372053,0.00002080294,0.000451451,0.00003476658,0.0005044681],"genre_scores_gemma":[0.9918318,0.002011637,0.002322116,0.0001177952,0.00002299374,0.0001027333,0.0008600135,0.00002571093,0.002705376],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005730786,"threshold_uncertainty_score":0.001917124,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.111695571964811,"score_gpt":0.4113860912121595,"score_spread":0.2996905192473485,"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."}}