{"id":"W2395308873","doi":"10.1111/nyas.13094","title":"Cerebellar contributions to motor control and language comprehension: searching for common computational principles","year":2016,"lang":"en","type":"review","venue":"Annals of the New York Academy of Sciences","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":127,"is_retracted":false,"has_abstract":true,"ca_institutions":"Centre for Addiction and Mental Health","funders":"National Institute of Neurological Disorders and Stroke","keywords":"Cognitive science; Motor control; Cognition; Neuroscience; Cerebellum; Psychology; Cognitive psychology; Comprehension; Context (archaeology); Neuropsychology; Control (management); Computer science; Artificial intelligence; Biology","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0008256598,0.0002189475,0.0008160269,0.0001624579,0.0004671655,0.00004384364,0.001078291,0.0001332254,0.00000645418],"category_scores_gemma":[0.00106979,0.0001250552,0.0002956435,0.0003978382,0.0009478019,0.0001051618,0.0002183626,0.000205891,0.000006131887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001047021,"about_ca_system_score_gemma":0.0002507555,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001230978,"about_ca_topic_score_gemma":0.000001109735,"domain_scores_codex":[0.997834,0.0003254265,0.0005387379,0.0004285098,0.0005438878,0.0003294723],"domain_scores_gemma":[0.9966596,0.002446458,0.0005775,0.0001146618,0.00004469805,0.0001570699],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009167734,0.0001674647,0.00006106539,0.004753559,0.0001403037,8.123209e-7,0.0007285745,0.005214626,0.006554531,0.04903238,0.03074344,0.9025115],"study_design_scores_gemma":[0.0003853023,0.0001743704,0.00007867592,0.006342581,0.0000836912,0.00001313728,0.00003508086,0.0005337357,0.001818316,0.005229396,0.9850549,0.0002508912],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0009333059,0.9822239,0.001079577,0.01168338,0.0002155741,0.00198965,0.001740526,0.00002686948,0.0001072541],"genre_scores_gemma":[0.05363027,0.9401378,0.001172176,0.003699026,0.00057803,0.00006782023,0.000005215563,0.00004035939,0.0006692834],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9543114,"threshold_uncertainty_score":0.5099602,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1477164887477228,"score_gpt":0.4211084909337343,"score_spread":0.2733920021860115,"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."}}