{"id":"W2596282492","doi":"10.1016/j.expneurol.2017.03.007","title":"Target-specific alterations in the VIP inhibitory drive to hippocampal GABAergic cells after status epilepticus","year":2017,"lang":"en","type":"article","venue":"Experimental Neurology","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":31,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research; Savoy Foundation","keywords":"Inhibitory postsynaptic potential; Interneuron; Neuroscience; Hippocampal formation; Parvalbumin; GABAergic; Status epilepticus; Vasoactive intestinal peptide; Calretinin; Disinhibition; Excitatory postsynaptic potential; Hippocampus; Biology; Chemistry; Epilepsy; Neuropeptide; Receptor; Biochemistry","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002472935,0.0002751476,0.0002406274,0.0002376119,0.000960988,0.0003091501,0.001361345,0.00009318905,0.0004796803],"category_scores_gemma":[0.0001591652,0.0002207098,0.00009031533,0.0002408272,0.001017348,0.0004364383,0.0005918663,0.0007381973,0.001018667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003739365,"about_ca_system_score_gemma":0.00006376423,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002132787,"about_ca_topic_score_gemma":0.000008031001,"domain_scores_codex":[0.9961807,0.0009127835,0.0003286064,0.001056957,0.0004739824,0.001046936],"domain_scores_gemma":[0.9982953,0.0004055821,0.0001061329,0.0009114693,0.00002126033,0.000260253],"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":[0.0004917127,0.0003799968,0.0008743289,0.000001559225,7.859511e-7,0.001800715,0.001732497,0.00003785356,0.9925884,0.0002282636,0.001767671,0.00009621959],"study_design_scores_gemma":[0.0007297987,0.001141472,0.008741639,0.000002423718,0.00000120452,0.00009792771,0.0001119938,0.0001220235,0.9724819,0.00008345278,0.01628847,0.0001976689],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9913454,0.00007443326,0.000007917333,0.003501508,0.002301219,0.0008137617,0.00002580242,0.00004175874,0.001888211],"genre_scores_gemma":[0.979092,0.00006889642,0.00002376356,0.01981764,0.000283717,0.0004425719,6.301649e-7,0.00003225412,0.000238491],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02010647,"threshold_uncertainty_score":0.9997591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04043170953376183,"score_gpt":0.3435946383325723,"score_spread":0.3031629287988104,"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."}}