{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007258225,0.0008358489,0.001492167,0.002500721,0.000360077,0.001271578,0.001294906,0.001886893,0.001925176],"category_scores_gemma":[0.001217338,0.0003334021,0.0004581268,0.001889055,0.001748151,0.002641037,0.001010819,0.001961057,0.001025757],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001024553,"about_ca_system_score_gemma":0.001755751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002168001,"about_ca_topic_score_gemma":0.003147447,"domain_scores_codex":[0.9998504,0.00003407871,0.00002956685,0.00003373492,0.00003891173,0.00001336914],"domain_scores_gemma":[0.9995835,0.0002560041,0.00004024886,0.00001718181,0.0000745746,0.00002840676],"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":[0.0000896827,0.00004234776,0.0003320598,0.01567928,0.0001495615,0.000426849,0.0002362171,0.0007999105,0.0009367566,0.02647899,0.01104185,0.9437866],"study_design_scores_gemma":[0.00003650734,0.0001019485,0.003149044,0.007435533,0.0002128929,0.0033704,0.0002469509,0.0004467137,0.0006194313,0.03441298,0.9499098,0.00005767651],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0001409702,0.9982723,0.0002762939,0.0004409812,0.00009532194,0.000002400201,0.000006185359,0.000005545609,0.0007599982],"genre_scores_gemma":[0.00151471,0.9975495,0.0002838298,0.0001581636,0.0001952835,0.000005647046,0.0000123706,0.000002074142,0.000278583],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.002500721,"threshold_uncertainty_score":0.007433712,"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."}}