{"id":"W2041503275","doi":"10.1037/h0087362","title":"Dissociating the neural correlates of item and context memory: An ERP study of face recognition.","year":2001,"lang":"en","type":"article","venue":"Canadian Journal of Experimental Psychology/Revue canadienne de psychologie expérimentale","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Psychology; Neural correlates of consciousness; Context (archaeology); Temporal lobe; Neuroimaging; Cognitive psychology; Prefrontal cortex; Neuroscience; Frontal lobe; Event-related potential; Recognition memory; Parietal lobe; Cognition","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004199634,0.0002422125,0.0003003064,0.000287189,0.0001507287,0.0003998964,0.0003060563,0.0006321336,0.00137262],"category_scores_gemma":[0.003302691,0.0002137927,0.0001416291,0.0002607658,0.0004646803,0.0006237113,0.0003677943,0.000591773,0.0003007643],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001233746,"about_ca_system_score_gemma":0.0001602754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005940931,"about_ca_topic_score_gemma":0.001200151,"domain_scores_codex":[0.9998491,0.00002565636,0.000008978427,0.00004769113,0.0000467775,0.0000219248],"domain_scores_gemma":[0.9991799,0.0004226665,0.0001566662,0.00008433715,0.00009012024,0.00006631812],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.00155481,0.0004395276,0.02469249,0.0002436304,0.00008512109,0.0009159516,0.0006875732,0.0001061895,0.9270965,0.0003821194,0.0002280593,0.04356799],"study_design_scores_gemma":[0.0001663601,0.001658043,0.9220579,0.00002542718,0.0001449263,0.005393648,0.0004554761,0.00101634,0.06603509,0.001898193,0.001113852,0.00003482092],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9945603,0.0006845297,0.002809212,0.00008484651,0.00001612428,0.00004581903,0.0001246974,0.00001406296,0.00166046],"genre_scores_gemma":[0.9949669,0.0004359605,0.003527534,0.000188474,0.00003724847,0.00005317979,0.000210618,0.00001691607,0.0005630608],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00137262,"threshold_uncertainty_score":0.004591823,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1107208798659217,"score_gpt":0.3404815210851497,"score_spread":0.229760641219228,"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."}}