{"id":"W2141697983","doi":"10.1073/pnas.1308706110","title":"Disrupting the clustering of GABA <sub>A</sub> receptor α2 subunits in the frontal cortex leads to reduced γ-power and cognitive deficits","year":2013,"lang":"en","type":"article","venue":"Proceedings of the National Academy of Sciences","topic":"Neuroscience and Neuropharmacology Research","field":"Neuroscience","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Institute of Neurological Disorders and Stroke; National Institute of Mental Health; Medical Research Council; Canadian Institutes of Health Research","keywords":"Neuroscience; Prefrontal cortex; Inhibitory postsynaptic potential; GABAergic; Schizophrenia (object-oriented programming); Cognition; Prepulse inhibition; GABAA receptor; Psychology; Biology; Receptor; Psychiatry; Genetics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00008438622,0.0005142265,0.0001983759,0.0003416277,0.0001727462,0.000325451,0.0001948555,0.0001979298,0.001245559],"category_scores_gemma":[0.0001107642,0.0002106813,0.0001613108,0.0001021106,0.0003670979,0.0001351607,0.0001739456,0.0004868843,0.0002487722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004478247,"about_ca_system_score_gemma":0.000356018,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003693334,"about_ca_topic_score_gemma":0.005880631,"domain_scores_codex":[0.9999083,0.000007908894,0.000009601007,0.00002460172,0.00002720235,0.00002232774],"domain_scores_gemma":[0.9998846,0.000008903505,0.00004890814,0.00001211986,0.000007990463,0.0000375303],"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":[0.00008945434,0.00002364971,0.0003284581,0.000009333951,0.000005572574,0.00003672007,0.000007339688,0.00005467828,0.9985572,0.00004983212,0.00002068609,0.0008171371],"study_design_scores_gemma":[0.00003876826,0.0003938641,0.03555407,0.00001141813,0.00005026123,0.0006472253,0.00007249664,0.0009482278,0.9610752,0.0001865229,0.00101402,0.000007858212],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9974273,0.0002747327,0.001339585,0.00005868203,0.00001171288,0.000008852627,0.0001907584,0.00005790358,0.0006303423],"genre_scores_gemma":[0.9960415,0.0005473598,0.001343173,0.00005756377,0.000005152742,0.00001508884,0.0001798776,0.00002543229,0.001784819],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003693334,"threshold_uncertainty_score":0.007343709,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0670484172977147,"score_gpt":0.3493492487556246,"score_spread":0.2823008314579099,"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."}}