{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00007856845,0.0004232987,0.0001933706,0.0005216823,0.0004587999,0.0003910193,0.0001686838,0.0001988499,0.005235391],"category_scores_gemma":[0.0004691487,0.0001048823,0.0001495749,0.0002094423,0.0007074141,0.0002455066,0.0003124707,0.000287676,0.0008930315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006477028,"about_ca_system_score_gemma":0.001082194,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006547975,"about_ca_topic_score_gemma":0.01350013,"domain_scores_codex":[0.9999379,0.000008379125,0.000003255662,0.00001393557,0.00001751169,0.00001903195],"domain_scores_gemma":[0.9998322,0.0000438444,0.00005014819,0.00002012113,0.00002634547,0.0000273281],"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":[0.001321583,0.0003181658,0.1188234,0.000522129,0.0001670157,0.03133861,0.002823245,0.004185312,0.5892648,0.01679004,0.003982137,0.2304635],"study_design_scores_gemma":[0.0001992995,0.0007981704,0.8269078,0.0001773489,0.0002624578,0.04180342,0.001350125,0.006261074,0.08668613,0.01559541,0.01989365,0.00006521228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.973406,0.00124431,0.006838776,0.0003662499,0.00003063693,0.00004587881,0.0001909444,0.0002624927,0.01761472],"genre_scores_gemma":[0.9977931,0.0001822309,0.000701728,0.00003181704,0.00001015258,0.00002504544,0.00006695836,0.000007290015,0.001181864],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006547975,"threshold_uncertainty_score":0.01751417,"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."}}