{"id":"W2136228359","doi":"10.1016/j.cogbrainres.2004.08.007","title":"The influence of increased working memory load on semantic neural systems: a high-resolution event-related brain potential study","year":2004,"lang":"en","type":"article","venue":"Cognitive Brain Research","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":34,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital; Izaak Walton Killam Health Centre; Dalhousie University; National Research Council Institute for Biodiagnostics","funders":"Natural Sciences and Engineering Research Council of Canada; Scottish Rite Charitable Foundation of Canada; Helsingin Yliopisto","keywords":"N400; Psychology; Semantic memory; Working memory; Sentence; Cognition; Event-related potential; Neuroscience; Cognitive psychology; Audiology; Natural language processing; Computer science","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.00374284,0.0002254331,0.0002861729,0.0003008597,0.00093551,0.0001275459,0.0006482999,0.0001311807,0.00001152538],"category_scores_gemma":[0.01690301,0.0001629471,0.00009521526,0.001037494,0.001188767,0.0001296501,0.0003218121,0.00100452,0.00009367793],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001330427,"about_ca_system_score_gemma":0.0003479147,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00120653,"about_ca_topic_score_gemma":0.0001304368,"domain_scores_codex":[0.9925517,0.004139974,0.0005177913,0.0007619067,0.001257822,0.0007708426],"domain_scores_gemma":[0.9917835,0.006955832,0.0001936427,0.0004177748,0.0005232319,0.0001259985],"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":[0.001767098,0.001044401,0.0003046154,0.00005488694,0.00006294492,0.004032764,0.003569599,0.005215691,0.9806982,0.0005436109,0.000154556,0.00255161],"study_design_scores_gemma":[0.06036501,0.02895474,0.1650602,0.006692994,0.0003351102,0.003042588,0.06518739,0.007431597,0.6502557,0.009251387,0.0002268881,0.003196398],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955887,0.0001935162,0.00001519392,0.001709605,0.0002568929,0.001902519,0.00002052116,0.00007198377,0.0002410331],"genre_scores_gemma":[0.9987516,0.00001298522,0.000001430463,0.0005923531,0.000109068,0.00008995394,0.000005453035,0.00002805931,0.0004090384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3304425,"threshold_uncertainty_score":0.991378,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05141318154960791,"score_gpt":0.3610523516966625,"score_spread":0.3096391701470546,"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."}}