{"id":"W3140472322","doi":"10.1093/cercor/bhab043","title":"The Precentral Insular Cortical Network for Speech Articulation","year":2021,"lang":"en","type":"article","venue":"Cerebral Cortex","topic":"Neurobiology of Language and Bilingualism","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Montreal Neurological Institute and Hospital","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Institutes of Health Research","keywords":"Apraxia; Precentral gyrus; Broca's area; Supplementary motor area; Inferior frontal gyrus; Motor cortex; Psychology; Articulation (sociology); Neuroscience; Insula; Superior temporal gyrus; Aphasia; Speech production; Middle frontal gyrus; Frontal lobe; Insular cortex; Neurocomputational speech processing; Supramarginal gyrus; Cortex (anatomy); Postcentral gyrus; Somatosensory system; Functional magnetic resonance imaging; Medicine; Speech perception; Perception; Magnetic resonance imaging; Computer science; Speech recognition","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":[0.0001514612,0.0001007118,0.0001133478,0.000008020819,0.0004367955,0.00007784736,0.0001520429,0.0000685754,0.0000801112],"category_scores_gemma":[0.001062427,0.00006957735,0.00009244996,0.0001605102,0.0001337944,0.00006402897,0.00006101651,0.0001639876,0.00004009115],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001391781,"about_ca_system_score_gemma":0.00006057702,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001887797,"about_ca_topic_score_gemma":0.00002378336,"domain_scores_codex":[0.9987634,0.0001640361,0.0002051745,0.0003379061,0.0001180219,0.0004114994],"domain_scores_gemma":[0.9989809,0.000578401,0.00005638839,0.0002569701,0.00005725399,0.00007003235],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001640686,0.0001281531,0.00392694,0.00001629326,0.00001724662,0.000642401,0.0002306434,0.00007253471,0.9537603,0.0170736,0.007550285,0.01641751],"study_design_scores_gemma":[0.001433817,0.0002921942,0.0360334,0.00002623657,0.00007951156,0.001287195,0.0001352452,0.005724431,0.8558569,0.01662311,0.08204018,0.0004678116],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9962766,0.0001676317,0.0002276856,0.001132494,0.001347052,0.0002665558,0.000009371024,0.00006708192,0.0005055153],"genre_scores_gemma":[0.9951277,0.00002744139,0.000362921,0.002359049,0.000500878,0.00001447594,0.00001698543,0.00001328694,0.001577205],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.09790345,"threshold_uncertainty_score":0.3359522,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02779576956410085,"score_gpt":0.2844709600449105,"score_spread":0.2566751904808096,"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."}}