{"id":"W2145634814","doi":"10.1017/s136672891100054x","title":"Inhibitory control predicts language switching performance in trilingual speech production","year":2011,"lang":"en","type":"article","venue":"Bilingualism Language and Cognition","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":200,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"","keywords":"Inhibitory control; Inhibitory postsynaptic potential; Control (management); Task (project management); Computer science; Psychology; Speech production; Language production; Linguistics; Natural language processing; Speech recognition; Artificial intelligence; Neuroscience; Cognition; Engineering","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":[0.0006882115,0.0003224411,0.0003387245,0.0003656665,0.0001936121,0.00004487336,0.0001955896,0.0002099717,0.0001012582],"category_scores_gemma":[0.00107433,0.0002912693,0.00007609008,0.000363854,0.0001729835,0.0004163457,0.0000669384,0.0004837386,0.00004029936],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002904112,"about_ca_system_score_gemma":0.00006741673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001558671,"about_ca_topic_score_gemma":0.0001387008,"domain_scores_codex":[0.9975139,0.0003213793,0.0005127145,0.0008526039,0.0002802684,0.0005191095],"domain_scores_gemma":[0.9991202,0.0001827136,0.000196378,0.0003232696,0.00005901732,0.0001184383],"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":[0.0003928083,0.000269062,0.002440155,0.0001086717,0.000009872299,0.002805384,0.05896901,0.000002142563,0.8918741,0.00004276749,0.00001159451,0.04307448],"study_design_scores_gemma":[0.002253019,0.0003089694,0.003205173,0.0002010773,0.00005749635,0.00162726,0.009027497,0.000152762,0.9823697,0.0002524753,0.00005841767,0.0004861105],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950036,0.0006373074,0.00002384068,0.00006004535,0.0005292701,0.0006438204,0.000020671,0.000271801,0.002809576],"genre_scores_gemma":[0.9972625,0.0001377697,0.0001643201,0.00145405,0.0006421902,0.00004185106,0.00002424223,0.0000412216,0.0002318669],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09049569,"threshold_uncertainty_score":0.9999539,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02747347619427305,"score_gpt":0.2532259175492754,"score_spread":0.2257524413550024,"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."}}