{"id":"W2811040772","doi":"10.1016/j.neuropsychologia.2018.06.023","title":"Language and cognitive control networks in bilinguals and monolinguals","year":2018,"lang":"en","type":"article","venue":"Neuropsychologia","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":69,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto; York University","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada; National Institute on Aging; National Institutes of Health","keywords":"Psychology; Nonverbal communication; Neuroscience of multilingualism; Cognition; Cognitive psychology; Task (project management); Control (management); Task switching; Neuroimaging; Developmental psychology; Neuroscience; Artificial intelligence; Computer science","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":[0.0003215113,0.0002242254,0.0002726644,0.0007779544,0.0003761978,0.001055048,0.0002045291,0.0002439489,0.004074694],"category_scores_gemma":[0.002082116,0.0001602412,0.0001384657,0.0002186311,0.0008326093,0.0009340072,0.0006076464,0.0003258897,0.000259224],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006000992,"about_ca_system_score_gemma":0.0004222979,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006686375,"about_ca_topic_score_gemma":0.008291696,"domain_scores_codex":[0.9998023,0.00003711049,0.00001088371,0.00006532353,0.00002943068,0.00005505347],"domain_scores_gemma":[0.999263,0.0003057102,0.0001403779,0.00005815861,0.0000774103,0.0001554397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.006768184,0.000718034,0.4635939,0.000370159,0.0003990509,0.006085139,0.0241081,0.00444258,0.3316714,0.02521408,0.001290995,0.1353383],"study_design_scores_gemma":[0.0002043493,0.0004111474,0.9401105,0.00005097875,0.0001536036,0.002898628,0.006852846,0.007658231,0.014243,0.02561999,0.001750744,0.00004602437],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973261,0.000127005,0.0003394945,0.0000618082,0.000004697237,0.000002335254,0.0000566579,0.000008102446,0.002073641],"genre_scores_gemma":[0.999009,0.00004629255,0.000162076,0.00001734425,0.000004295567,0.000004019495,0.0000479609,0.000005625454,0.0007033894],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006686375,"threshold_uncertainty_score":0.01363122,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02032380597545224,"score_gpt":0.3172140153307725,"score_spread":0.2968902093553202,"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."}}