{"id":"W1974445454","doi":"10.1016/j.neuropsychologia.2008.10.007","title":"Effects of semantic matching and of semantic category on reaction time and N400 that resist numerous repetitions","year":2008,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"EEG and Brain-Computer Interfaces","field":"Neuroscience","cited_by":19,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University; Douglas Mental Health University Institute","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"N400; Psychology; Semantics (computer science); Matching (statistics); Cognitive psychology; Semantic memory; Cognition; Neuroscience; Event-related potential; Computer science; Statistics","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":[0.00009843786,0.0001433362,0.000227171,0.0001277462,0.0001250555,0.00001585179,0.0001336144,0.00006252804,0.000003898138],"category_scores_gemma":[0.0001329277,0.0001229676,0.00003811173,0.0001492535,0.0002721845,0.0001281176,0.00005756311,0.0001970664,0.00001887388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000005461828,"about_ca_system_score_gemma":0.000006626291,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003378965,"about_ca_topic_score_gemma":0.000001511345,"domain_scores_codex":[0.9988007,0.000214885,0.0002117753,0.0004385526,0.0001722362,0.0001618402],"domain_scores_gemma":[0.9988893,0.0006103273,0.0001718989,0.0002656049,0.00001618448,0.00004664048],"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":[0.00006570062,0.0001388579,0.0008481384,0.0001105615,0.000004491453,0.0001257456,0.0003499457,0.000003757408,0.9972718,0.0002476596,0.000298757,0.0005345848],"study_design_scores_gemma":[0.0007433531,0.0009979347,0.5067648,0.0002437599,0.00003095306,0.0009862274,0.00002018519,0.0001230518,0.488852,0.000903517,0.0001150971,0.0002190777],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9971512,0.00004245721,0.00005626927,0.000259696,0.000246095,0.000196739,0.000005627922,0.00006525211,0.001976658],"genre_scores_gemma":[0.9988856,0.0002092771,0.00007870566,0.0004306438,0.00002316,0.000003818432,7.646682e-7,0.0000169555,0.0003511308],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5084198,"threshold_uncertainty_score":0.5014474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02268276264119257,"score_gpt":0.2597437134143591,"score_spread":0.2370609507731665,"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."}}