{"id":"W2061988316","doi":"10.1016/j.neulet.2012.08.030","title":"Cortical activity during speech and non-speech oromotor tasks: A magnetoencephalography (MEG) study","year":2012,"lang":"en","type":"article","venue":"Neuroscience Letters","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; Mental Health Research Canada; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Brain activity and meditation; Speech production; Supplementary motor area; Psychology; Stimulus (psychology); Neuroscience; Electroencephalography; Speech recognition; Functional magnetic resonance imaging; Computer science; Cognitive psychology","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004280386,0.0003353109,0.000304046,0.0002522021,0.0006137145,0.0001500872,0.0005957972,0.00007855189,0.00002709427],"category_scores_gemma":[0.0005907195,0.0002857653,0.00009088071,0.0007800384,0.001041472,0.0008221453,0.0003404613,0.0006054948,0.0000311272],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000227991,"about_ca_system_score_gemma":0.00001823755,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004427699,"about_ca_topic_score_gemma":0.000006408852,"domain_scores_codex":[0.9966165,0.0004152893,0.0002708063,0.001078617,0.0005377923,0.001080966],"domain_scores_gemma":[0.9986969,0.0002750128,0.000126059,0.0005397315,0.00001612364,0.0003461535],"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":[0.00003614716,0.0004138842,0.08707687,0.00001016039,0.000001003641,0.001405849,0.0007118658,7.683855e-7,0.9095338,0.000002532737,0.00006206746,0.0007450569],"study_design_scores_gemma":[0.000635536,0.0004303033,0.441454,0.000008181553,0.00002143467,0.001888837,0.0001147204,0.00004021218,0.5548417,0.000003858904,0.0001919711,0.0003692264],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967051,0.00001408249,0.00002848308,0.001130215,0.001181789,0.0006591295,0.0000109126,0.0001652075,0.0001050675],"genre_scores_gemma":[0.9897109,0.00001475042,0.0001056281,0.009808126,0.0002464356,0.00003029234,2.873241e-7,0.00002652015,0.00005708167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3546921,"threshold_uncertainty_score":0.9999595,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02315996481116628,"score_gpt":0.2791199093011857,"score_spread":0.2559599444900194,"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."}}