{"id":"W2746128836","doi":"10.1523/jneurosci.0553-17.2017","title":"Bilingual Language Switching in the Laboratory versus in the Wild: The Spatiotemporal Dynamics of Adaptive Language Control","year":2017,"lang":"en","type":"article","venue":"Journal of Neuroscience","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":224,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; New York University Abu Dhabi; “la Caixa” Foundation","keywords":"Psychology; Comprehension; Cognitive psychology; Conversation; Utterance; Prefrontal cortex; Anterior cingulate cortex; Cued speech; Task switching; Control (management); Language production; Cognition; Neuroscience; Linguistics; Computer science; Communication; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002818779,0.0001209902,0.0002412832,0.0002943341,0.0001722319,0.0007154557,0.0001783029,0.0002375288,0.001105856],"category_scores_gemma":[0.001678861,0.0001354017,0.0001128031,0.0001865506,0.0009261793,0.0005343431,0.0006394175,0.0003399638,0.0001496292],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003432637,"about_ca_system_score_gemma":0.0002447515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002194162,"about_ca_topic_score_gemma":0.002764401,"domain_scores_codex":[0.9997788,0.00005928432,0.00001081917,0.00006614161,0.00003884958,0.00004603709],"domain_scores_gemma":[0.9995269,0.0001766146,0.0001078409,0.00005666191,0.00005779308,0.00007427752],"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":[0.0007967001,0.0001233517,0.02380707,0.00008526798,0.00004373855,0.000417653,0.002264607,0.0007774312,0.9446205,0.001788968,0.0003201757,0.02495458],"study_design_scores_gemma":[0.00007262195,0.0006090555,0.8734989,0.0000387244,0.00007541758,0.0008308052,0.003833496,0.01986856,0.09122466,0.007095778,0.002740077,0.0001118817],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969837,0.00007372048,0.001622563,0.00004753325,0.000005012352,0.000004099875,0.00005665579,0.0000294197,0.001177374],"genre_scores_gemma":[0.9988532,0.00004584116,0.0007686302,0.00002347224,0.000004752929,0.000008830896,0.0000697339,0.00001591439,0.0002095283],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002194162,"threshold_uncertainty_score":0.004362762,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03823179177003296,"score_gpt":0.3297188911658883,"score_spread":0.2914870993958553,"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."}}