{"id":"W4408948506","doi":"10.1162/nol_a_00167","title":"Exploring the Relationship Between White Matter Tracts and Resting-State Functional Language Lateralization Index","year":2025,"lang":"en","type":"article","venue":"Neurobiology of Language","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke; Université de Montréal; Centre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal; Institut Universitaire de Gériatrie de Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Courtois Foundation","keywords":"Lateralization of brain function; White matter; Index (typography); Resting state fMRI; Functional connectivity; Psychology; Neuroscience; Medicine; Computer science; Magnetic resonance imaging","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002666141,0.0001836526,0.000233078,0.0002174864,0.0002177241,0.00002798322,0.0002379038,0.0000899139,0.00005163793],"category_scores_gemma":[0.0008592322,0.0001334461,0.00005890519,0.0003491632,0.0003729181,0.0001816797,0.000139134,0.0003861594,0.00002385395],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001001528,"about_ca_system_score_gemma":0.00002710877,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004573113,"about_ca_topic_score_gemma":0.00002640799,"domain_scores_codex":[0.9983473,0.0004767499,0.000362164,0.000447755,0.00008902431,0.0002770418],"domain_scores_gemma":[0.9974576,0.001979778,0.0001676922,0.0003299608,0.00002681354,0.0000381551],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00006272295,0.00002576857,0.8476826,0.00005143593,0.000009637058,0.00007729956,0.004454013,0.00005047306,0.1464325,0.0002689544,0.0002744959,0.0006101049],"study_design_scores_gemma":[0.0003999811,0.00005195791,0.9463619,0.00003947548,0.00002479084,0.00008160807,0.000313816,0.00001046724,0.0521896,0.0002854518,0.0001144849,0.0001264779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965056,0.00007292655,0.0001155196,0.001516139,0.0003823689,0.0002285409,0.00003745581,0.00008513577,0.001056284],"genre_scores_gemma":[0.995234,0.000009427332,0.00002831031,0.002632368,0.00009026181,0.00001957738,0.00002824587,0.00001664158,0.00194121],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09867927,"threshold_uncertainty_score":0.5441774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08830022868781541,"score_gpt":0.2999409156343998,"score_spread":0.2116406869465844,"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."}}