{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005460301,0.0002544142,0.0005489111,0.000791673,0.0005010389,0.0001062558,0.002421749,0.0001098897,0.000006182182],"category_scores_gemma":[0.005818058,0.0001465976,0.0002313283,0.002261509,0.002359649,0.0005933906,0.0007898344,0.001694988,0.000003236188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001540214,"about_ca_system_score_gemma":0.001503903,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008724471,"about_ca_topic_score_gemma":0.000007993304,"domain_scores_codex":[0.9920013,0.002690788,0.0009977232,0.000700462,0.002594238,0.00101548],"domain_scores_gemma":[0.9956092,0.001837588,0.0008235436,0.0007768158,0.0006515898,0.0003012653],"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":[0.0008549,0.0005195516,0.02411711,0.00005663458,0.000002648574,0.00003816143,0.0002576259,0.002542577,0.9709429,0.00006492151,0.00002420206,0.0005787432],"study_design_scores_gemma":[0.0007741671,0.004257226,0.0481629,0.00009516042,0.000005154675,0.0001087483,0.00008977791,0.04183877,0.9041581,0.0003995622,0.000001080617,0.000109324],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9979538,0.00001995864,0.000001143333,0.0003618267,0.0002512351,0.001346984,0.00001783815,0.00000605691,0.00004113444],"genre_scores_gemma":[0.9993412,0.0003335445,0.0000130924,0.00008586953,0.00003285964,0.00001437371,3.211112e-8,0.00002905267,0.0001499997],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06678478,"threshold_uncertainty_score":0.8694226,"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."}}