{"id":"W1885018739","doi":"10.1017/cbo9781139029377.008","title":"Event-Related Potentials and Magnetic Fields Associated with Spoken Word Recognition","year":2012,"lang":"en","type":"book-chapter","venue":"Cambridge University Press eBooks","topic":"Nuclear Physics and Applications","field":"Physics and Astronomy","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Event (particle physics); Word (group theory); Computer science; Speech recognition; Natural language processing; Communication; Linguistics; Psychology; Physics; Astrophysics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00004535575,0.0002354165,0.0002451694,0.00005514984,0.0001736929,0.00003957791,0.0001295399,0.0001578336,0.00008399705],"category_scores_gemma":[6.080601e-7,0.0002583434,0.00009843884,0.00001006536,0.0001108336,0.00007101367,0.0001119035,0.0003134932,0.00002677193],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003112887,"about_ca_system_score_gemma":0.0000304027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001154795,"about_ca_topic_score_gemma":0.000001195036,"domain_scores_codex":[0.9992577,0.00002156568,0.0001274603,0.0002791896,0.0001158355,0.0001982461],"domain_scores_gemma":[0.9993198,0.00003368389,0.0002036801,0.0002272828,0.00009371637,0.0001218724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004088288,0.00006136344,0.00003841108,0.00002066714,0.0004769407,0.00001388817,0.00007209274,0.000002154201,0.00008414027,0.9225504,0.005549861,0.07108915],"study_design_scores_gemma":[0.003583088,0.0002606526,0.001501885,0.0008672716,0.003113156,0.000009159635,0.0001965962,0.0001880112,0.0004857619,0.003459883,0.9841372,0.002197305],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.01142157,0.00006774647,0.0003269868,0.00001620321,0.00004708053,0.0003809562,0.0004918523,0.00005268743,0.9871949],"genre_scores_gemma":[0.2753911,0.00001614139,0.0000275784,0.00001206695,0.0000933262,0.000001566887,0.0003635994,0.00003613949,0.7240585],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.9785874,"threshold_uncertainty_score":0.9999869,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01225981657672606,"score_gpt":0.1780874639473642,"score_spread":0.1658276473706382,"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."}}