{"id":"W2092674859","doi":"10.3389/fnhum.2014.00507","title":"Investigating the contribution of ventral-lexical and dorsal-sublexical pathways during reading in bilinguals","year":2014,"lang":"en","type":"article","venue":"Frontiers in Human Neuroscience","topic":"Advanced Neuroimaging Techniques and Applications","field":"Medicine","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; University of Alberta","keywords":"Arcuate fasciculus; Superior longitudinal fasciculus; Fasciculus; Psychology; Diffusion MRI; White matter; Inferior longitudinal fasciculus; Uncinate fasciculus; Lateralization of brain function; Reading (process); Dorsum; Neuroscience; Lexical decision task; Tractography; Cognitive psychology; Fractional anisotropy; Audiology; Anatomy; Cognition; Biology; Linguistics; Medicine; 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":[0.0003775579,0.00008066859,0.0001804513,0.0001117355,0.0001316449,0.00001463282,0.000131492,0.00003348421,4.6432e-7],"category_scores_gemma":[0.0007059677,0.00006412345,0.00002246828,0.0003455037,0.0005102656,0.00007771479,0.00006808848,0.000256353,4.035318e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003468797,"about_ca_system_score_gemma":0.00001878609,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008682212,"about_ca_topic_score_gemma":0.000001346442,"domain_scores_codex":[0.9990172,0.00005858693,0.0002727505,0.0002877573,0.0001483418,0.0002153701],"domain_scores_gemma":[0.9995643,0.00005626832,0.00008975086,0.0002163793,0.00002022166,0.00005305838],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00001089269,0.00006085081,0.493753,0.00003179699,4.346584e-7,0.000007674788,0.0002542349,0.0001939434,0.488957,0.01577093,0.0000328522,0.0009263581],"study_design_scores_gemma":[0.0009505897,0.0001813306,0.8346687,0.0003199604,0.00001046192,0.00005236618,0.00009107174,0.03781625,0.09364519,0.03167482,0.0004296705,0.0001595879],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9776699,0.00004138891,0.02133658,0.0004853465,0.0000678326,0.0002699514,0.000001122741,0.00004100282,0.00008688263],"genre_scores_gemma":[0.9963713,0.00002345573,0.003281333,0.0002629556,0.00002109321,0.00002033849,0.000001214687,0.000007639449,0.00001068471],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3953118,"threshold_uncertainty_score":0.2614878,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04671573189100597,"score_gpt":0.330293969212695,"score_spread":0.2835782373216891,"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."}}