{"id":"W2953866014","doi":"10.1016/j.bandl.2019.104640","title":"Bilingual effects on lexical selection: A neurodevelopmental perspective","year":2019,"lang":"en","type":"article","venue":"Brain and Language","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":22,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Eunice Kennedy Shriver National Institute of Child Health and Human Development; University of Michigan; National Institutes of Health; National Science Foundation","keywords":"Psychology; Neuroscience of multilingualism; Selection (genetic algorithm); Perspective (graphical); Cognitive psychology; Cognition; Neuroimaging; Age of Acquisition; Task (project management); Lexical decision task; Multilingualism; Phonology; Developmental psychology; Linguistics; Neuroscience; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006223512,0.0006134625,0.0005622874,0.0009667875,0.0004272285,0.001337346,0.0005415907,0.0006120694,0.004715092],"category_scores_gemma":[0.001472903,0.0002060333,0.0002457825,0.0004426482,0.001920465,0.001363238,0.0005750385,0.0007931783,0.0003530208],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000625091,"about_ca_system_score_gemma":0.001074095,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003080027,"about_ca_topic_score_gemma":0.004380421,"domain_scores_codex":[0.9997522,0.00003317389,0.00001383564,0.00008073639,0.0000653081,0.0000547076],"domain_scores_gemma":[0.9991738,0.0002774427,0.0002237689,0.00008853589,0.0001123228,0.0001240127],"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":[0.002221539,0.0005945727,0.05757525,0.0008757107,0.0003646101,0.008501573,0.001493444,0.002138552,0.7362205,0.06849863,0.002168861,0.1193467],"study_design_scores_gemma":[0.0002672144,0.001265059,0.71162,0.0002664116,0.0005213256,0.006100534,0.002008681,0.002607411,0.1432751,0.11898,0.01295823,0.0001301191],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9607612,0.007046069,0.006815074,0.002827778,0.000147185,0.00003090596,0.0009017905,0.0001596309,0.02131029],"genre_scores_gemma":[0.9905108,0.003569339,0.002413252,0.0003837566,0.0000903051,0.00002687068,0.000276635,0.00007114242,0.002657851],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004715092,"threshold_uncertainty_score":0.01577353,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009740722787868722,"score_gpt":0.2779819699295653,"score_spread":0.2682412471416966,"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."}}