{"id":"W2132444457","doi":"10.1162/jocn.2006.18.9.1453","title":"A Reevaluation of the Electrophysiological Correlates of Expert Object Processing","year":2006,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Face Recognition and Perception","field":"Neuroscience","cited_by":190,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"National Institute of Mental Health","keywords":"Psychology; Perception; Cognitive psychology; Object (grammar); Neural correlates of consciousness; Event-related potential; Communication; Cognition; Linguistics; Neuroscience","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003365485,0.00009272982,0.0001845088,0.0001121544,0.0001277878,0.00002353325,0.0002507769,0.00004256871,0.00003237828],"category_scores_gemma":[0.002935375,0.00005663878,0.0001325572,0.000654124,0.0005400858,0.000319731,0.0000365497,0.0002246983,0.000002162975],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001894218,"about_ca_system_score_gemma":0.0001510165,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000369043,"about_ca_topic_score_gemma":9.071915e-7,"domain_scores_codex":[0.9982333,0.0003363699,0.0004627961,0.0001692319,0.0006472241,0.0001510299],"domain_scores_gemma":[0.9982959,0.0003513882,0.0008170761,0.00006567079,0.0004384994,0.00003144019],"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":[0.0001170502,0.0001469937,0.0005722153,0.0000071639,3.1326e-7,0.000002249076,0.0001280297,0.00009499929,0.99198,0.00005080725,0.00002031312,0.006879861],"study_design_scores_gemma":[0.0004006288,0.000757749,0.1356306,0.0002218163,0.00001490608,0.0001308928,0.00009822593,0.001978695,0.8597506,0.0009110321,0.00003575504,0.00006909479],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973727,0.00006434746,0.001225299,0.0001455615,0.00027389,0.0001364964,0.00000561796,0.000006244285,0.0007698428],"genre_scores_gemma":[0.9993153,0.0001137095,0.00004688786,0.0004079383,0.00005902103,0.000001983058,2.200452e-7,0.000005261631,0.0000496358],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1350584,"threshold_uncertainty_score":0.351413,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05767388870672908,"score_gpt":0.3250060811142367,"score_spread":0.2673321924075077,"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."}}