{"id":"W2123480151","doi":"10.1162/089892903321593108","title":"Neural Correlates of Lexical Access during Visual Word Recognition","year":2003,"lang":"en","type":"article","venue":"Journal of Cognitive Neuroscience","topic":"Reading and Literacy Development","field":"Psychology","cited_by":341,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor; University of Alberta","funders":"National Center for Research Resources; National Institute of Neurological Disorders and Stroke; National Institute of Mental Health","keywords":"Lexical decision task; Psychology; Functional magnetic resonance imaging; Lexicon; Neural correlates of consciousness; Cognitive psychology; Word recognition; Natural language processing; Cognition; Computer science; Linguistics; Neuroscience; Reading (process)","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":[0.0001945837,0.0001493204,0.0001484893,0.0001943078,0.00008843049,0.0004257062,0.0001222078,0.0002457129,0.0013133],"category_scores_gemma":[0.002232267,0.0001610157,0.00007518946,0.0001221256,0.0002383078,0.0004061809,0.000210744,0.0002157233,0.0001920732],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009407357,"about_ca_system_score_gemma":0.00007171356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004784995,"about_ca_topic_score_gemma":0.001047003,"domain_scores_codex":[0.9999012,0.00001759279,0.000007549495,0.00003601838,0.00002352992,0.00001426397],"domain_scores_gemma":[0.9993256,0.0003494969,0.0001642736,0.00004031345,0.00006534825,0.00005493583],"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":[0.001534775,0.0002465406,0.06974719,0.0001784468,0.00007505044,0.0003835835,0.001173877,0.0004241561,0.8783438,0.0004046589,0.000358664,0.04712916],"study_design_scores_gemma":[0.0000758147,0.000415832,0.9732853,0.00001278243,0.00003274879,0.0006122533,0.0002566349,0.00176655,0.02164616,0.001566021,0.000313607,0.00001620517],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9981083,0.00009070092,0.000682971,0.0000274362,0.000004640587,0.00001125259,0.00006657081,0.00001312909,0.0009948949],"genre_scores_gemma":[0.9987752,0.00007097887,0.0005473407,0.00003169996,0.000008997886,0.00001727829,0.0001179534,0.000008832557,0.0004216111],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0013133,"threshold_uncertainty_score":0.004393399,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05756685716708414,"score_gpt":0.3785118066805345,"score_spread":0.3209449495134503,"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."}}