{"id":"W2067299726","doi":"10.1016/j.brainres.2006.10.002","title":"ERP measures of auditory word repetition and translation priming in bilinguals","year":2006,"lang":"en","type":"article","venue":"Brain Research","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Concordia University; Jewish General Hospital","funders":"Canadian Institutes of Health Research","keywords":"N400; Priming (agriculture); Psychology; Repetition (rhetorical device); Repetition priming; Linguistics; Adaptation (eye); Event-related potential; Cognitive psychology; Contrast (vision); Neuroscience of multilingualism; Lexical decision task; Cognition; Computer science; Neuroscience; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001902075,0.00006459031,0.0001163167,0.0003398831,0.00008674783,0.00001901847,0.0001198148,0.00007967356,0.00001981542],"category_scores_gemma":[0.001852409,0.00005837126,0.00002418133,0.0003668775,0.0003197786,0.00008114797,0.00003437666,0.0002546227,0.000003987073],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001719626,"about_ca_system_score_gemma":0.00006008219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002258246,"about_ca_topic_score_gemma":0.0002691979,"domain_scores_codex":[0.9981734,0.0006760256,0.0002313572,0.0003263269,0.0003400306,0.0002529214],"domain_scores_gemma":[0.9980688,0.001648594,0.00004273217,0.0001582301,0.00005532037,0.00002630407],"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":[0.00004122172,0.0000508587,0.0005990419,0.00003135718,4.797043e-7,0.0001105048,0.0006054555,0.00001085738,0.9829125,0.0002435298,0.0002199901,0.01517416],"study_design_scores_gemma":[0.0006443681,0.0001378693,0.01225155,0.00009986424,0.000001910658,0.00006625867,0.0002560261,0.0001045258,0.9774217,0.004914534,0.003973004,0.0001283934],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962898,0.0002649393,0.00001589182,0.001090163,0.00006827863,0.0002362295,0.000004324909,0.0000218645,0.002008483],"genre_scores_gemma":[0.9991913,0.00003801465,0.0001560485,0.00009456091,0.0001534842,0.000009033291,0.000002552865,0.000008523202,0.0003465012],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01504576,"threshold_uncertainty_score":0.2380311,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2043379494406472,"score_gpt":0.4040399376601156,"score_spread":0.1997019882194685,"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."}}