{"id":"W2058457174","doi":"10.1007/s00429-012-0466-6","title":"Understanding white matter integrity stability for bilinguals on language status and reading performance","year":2012,"lang":"en","type":"article","venue":"Brain Structure and Function","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":61,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Psychology; Fractional anisotropy; White matter; Neuroscience of multilingualism; Reading (process); Diffusion MRI; Audiology; Age of Acquisition; Cognitive psychology; Developmental psychology; Cognition; Linguistics; Neuroscience; Medicine","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":[0.0006053388,0.0003196375,0.0003556164,0.001009962,0.0003768363,0.0007396244,0.0001947647,0.0004728441,0.002244292],"category_scores_gemma":[0.002142502,0.0001595298,0.000283648,0.0005000412,0.0004464888,0.0007792198,0.0004677848,0.000322266,0.0003191141],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003604522,"about_ca_system_score_gemma":0.0003127703,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006214919,"about_ca_topic_score_gemma":0.01078161,"domain_scores_codex":[0.9998463,0.00002701674,0.00001567641,0.00005143028,0.00002906678,0.00003042257],"domain_scores_gemma":[0.9989698,0.0003777165,0.0003056212,0.00007625939,0.0001426653,0.0001279426],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001958648,0.0001137228,0.9531455,0.00003836012,0.0002650145,0.0003528687,0.001308853,0.0003002466,0.02566482,0.0002285868,0.0003139253,0.0163094],"study_design_scores_gemma":[0.000005877822,0.00008635428,0.9978421,0.000003860163,0.00003237952,0.0001707739,0.0003015639,0.0003400063,0.0008993724,0.0002402366,0.00007305681,0.000004518784],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9994117,0.00005171673,0.00006918338,0.00002867056,0.000001337557,0.000001476213,0.00008880654,0.000003101625,0.0003440999],"genre_scores_gemma":[0.9995547,0.00003098363,0.00005889727,0.000008599914,0.000003615887,0.000002134482,0.0001352799,0.000003724297,0.0002021074],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006214919,"threshold_uncertainty_score":0.01235747,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1178881771812135,"score_gpt":0.3463011893353268,"score_spread":0.2284130121541133,"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."}}