{"id":"W2544738000","doi":"10.1523/eneuro.0269-16.2016","title":"Serotonergic Suppression of Mouse Prefrontal Circuits Implicated in Task Attention","year":2016,"lang":"en","type":"article","venue":"eNeuro","topic":"Neural dynamics and brain function","field":"Neuroscience","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Brain and Behavior Research Foundation; Canada Research Chairs; Government of Canada; National Alliance for Research on Schizophrenia and Depression; Canadian Institutes of Health Research; Van Ameringen Foundation","keywords":"Optogenetics; Neuroscience; Prefrontal cortex; Serotonergic; Excitatory postsynaptic potential; GABAergic; Population; Biological neural network; Psychology; Serotonin; Inhibitory postsynaptic potential; Biology; Receptor; Medicine; Cognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002197792,0.0006281018,0.0003182058,0.0007643718,0.0003970679,0.0004329791,0.0007848619,0.0008000691,0.003469851],"category_scores_gemma":[0.0001235767,0.0003367442,0.0005148977,0.0002639785,0.0007337308,0.00041078,0.0004023989,0.001567444,0.0008010578],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006614752,"about_ca_system_score_gemma":0.0004223112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001883418,"about_ca_topic_score_gemma":0.004550742,"domain_scores_codex":[0.999686,0.00002579493,0.00003323686,0.00009608541,0.00006683686,0.00009199933],"domain_scores_gemma":[0.9996722,0.00004041691,0.00009485044,0.00004154345,0.00002662152,0.0001244992],"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":[0.000129181,0.00004963682,0.0001519811,0.00003306758,0.000007573703,0.00008701768,0.00002925496,0.00004985538,0.9982205,0.0002201217,0.00005275972,0.000969014],"study_design_scores_gemma":[0.00004591758,0.0003445315,0.005056879,0.00001704493,0.00004107124,0.0002888732,0.00006920696,0.001085497,0.9905674,0.0001921428,0.002283642,0.000007800596],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9828598,0.001251528,0.009919868,0.0004311654,0.00009854011,0.00007407914,0.002229361,0.000360683,0.002775125],"genre_scores_gemma":[0.9677846,0.001408938,0.0118378,0.0002130077,0.00002489533,0.0002300384,0.001664459,0.0002025688,0.01663372],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003469851,"threshold_uncertainty_score":0.01160783,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02135624507785029,"score_gpt":0.2457104992621526,"score_spread":0.2243542541843023,"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."}}