{"id":"W1963586721","doi":"10.1007/s12264-012-1278-7","title":"Neuroimaging studies of bilingual expressive language representation in the brain: potential applications for magnetoencephalography","year":2012,"lang":"en","type":"review","venue":"Neuroscience Bulletin","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; SickKids Foundation; Mental Health Research Canada; Hospital for Sick Children","funders":"Canadian Institutes of Health Research","keywords":"Magnetoencephalography; Neuroimaging; Neuroscience of multilingualism; Psychology; Brain activity and meditation; Language production; Comprehension; Fluency; Cognitive psychology; Computer science; Neuroscience; Cognition; Electroencephalography","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001060362,0.001220577,0.001877381,0.003305225,0.0002181559,0.00114649,0.001203101,0.001377544,0.001986771],"category_scores_gemma":[0.001396472,0.0003270759,0.0004774113,0.003998187,0.001155167,0.001728878,0.0007318663,0.001584442,0.001105399],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009726639,"about_ca_system_score_gemma":0.001584186,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003149331,"about_ca_topic_score_gemma":0.005761538,"domain_scores_codex":[0.9998459,0.00002696178,0.00002578186,0.0000487728,0.00003850633,0.00001407984],"domain_scores_gemma":[0.9990405,0.0005882147,0.00009495419,0.00002696245,0.0001964315,0.00005299107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001186969,0.00006675229,0.0007714714,0.01376942,0.0002045009,0.0004795392,0.0000537691,0.0003047145,0.003909826,0.00382717,0.01616069,0.9603333],"study_design_scores_gemma":[0.0001001275,0.0002221047,0.01480269,0.009003904,0.0008156142,0.01235351,0.0003611301,0.0004267971,0.004266449,0.01866139,0.9388169,0.000169472],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001277643,0.9987821,0.0002453525,0.0002665817,0.0000723659,0.000001916475,0.00001613456,0.000005463067,0.0004822759],"genre_scores_gemma":[0.001028603,0.9980083,0.0004148014,0.0001261535,0.0001960426,0.000004754982,0.00002776585,0.000001939773,0.0001916226],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.003305225,"threshold_uncertainty_score":0.00705719,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1491297407906791,"score_gpt":0.4281335233910833,"score_spread":0.2790037826004041,"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."}}