{"id":"W2006858076","doi":"10.1016/j.nlm.2009.10.006","title":"Effects of acute stress and GluN2B-containing NMDA receptor antagonism on object and object–place recognition memory","year":2009,"lang":"en","type":"article","venue":"Neurobiology of Learning and Memory","topic":"Memory and Neural Mechanisms","field":"Neuroscience","cited_by":65,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Saskatchewan","funders":"Natural Sciences and Engineering Research Council of Canada; Saskatchewan Health Research Foundation","keywords":"NMDA receptor; Antagonism; Neuroscience; Psychology; Object (grammar); Cognitive neuroscience of visual object recognition; Recognition memory; Effects of stress on memory; Cognitive psychology; Receptor; Hippocampus; Cognitive science; Computer science; Medicine; Cognition; Artificial intelligence; Memory consolidation; Internal medicine","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":[0.0004400803,0.001297504,0.001820894,0.0002735041,0.0006374427,0.0006732524,0.0007361037,0.0007998862,0.002751319],"category_scores_gemma":[0.0008906959,0.0006213061,0.0006941629,0.0003815535,0.001986577,0.0008427724,0.0005846351,0.002713233,0.0003678958],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007771027,"about_ca_system_score_gemma":0.001569324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004679148,"about_ca_topic_score_gemma":0.007496849,"domain_scores_codex":[0.9994959,0.00006855539,0.00006466598,0.00007395523,0.0000504765,0.0002463783],"domain_scores_gemma":[0.9989052,0.0002166327,0.0001768252,0.0001592601,0.00007582473,0.0004662349],"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":[0.1528171,0.002827096,0.001149256,0.0002602899,0.000193245,0.000373682,0.0003350946,0.0003017517,0.8354422,0.0003712979,0.0004336516,0.005495327],"study_design_scores_gemma":[0.004535215,0.05615377,0.03625013,0.00007379274,0.0004749626,0.0007388397,0.001170339,0.002007262,0.8960128,0.0008685367,0.001565604,0.0001486895],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9982644,0.000499625,0.0001861811,0.0001505778,0.0001336335,0.00003163294,0.0002859714,0.00002084811,0.0004271048],"genre_scores_gemma":[0.9958017,0.000954465,0.0004680357,0.0001688656,0.0001159649,0.0001054486,0.0006595126,0.00001973692,0.001706362],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004679148,"threshold_uncertainty_score":0.009303808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02170482322279217,"score_gpt":0.2717456398574253,"score_spread":0.2500408166346332,"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."}}