{"id":"W2808181203","doi":"10.1212/wnl.88.16_supplement.s18.007","title":"Dysmetria of Thought and the Universal Cerebellar Transform: empirical evidence, future approaches, and relevance for embodied cognition. (S18.007)","year":2017,"lang":"en","type":"article","venue":"Neurology","topic":"Vestibular and auditory disorders","field":"Neuroscience","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Dysmetria; Embodied cognition; Relevance (law); Cognition; Cognitive psychology; Cognitive robotics; Psychology; Neuroscience; Cognitive science; Computer science; Cerebellum; Artificial intelligence; Political science","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":[0.001683994,0.0004386854,0.0003337637,0.001907335,0.000534582,0.001451579,0.0006586127,0.002522164,0.02183214],"category_scores_gemma":[0.005418842,0.0001171584,0.0002629461,0.001807755,0.003357291,0.002648962,0.001317253,0.001403108,0.002359085],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001165233,"about_ca_system_score_gemma":0.001858415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003202667,"about_ca_topic_score_gemma":0.007133688,"domain_scores_codex":[0.9997011,0.0001043082,0.00003953319,0.00004497324,0.00008801488,0.00002192996],"domain_scores_gemma":[0.9982103,0.001254528,0.0002191415,0.00006961496,0.0001781307,0.00006828437],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004287271,0.00009538597,0.00880398,0.001375755,0.00007066459,0.002240157,0.001219378,0.0003704164,0.001612945,0.2200544,0.1409798,0.6227483],"study_design_scores_gemma":[0.0001586111,0.0004598265,0.07704603,0.003510069,0.0001098226,0.01413321,0.004463991,0.001350241,0.001151833,0.6052918,0.2922298,0.00009464053],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.03727532,0.5128058,0.008676244,0.280952,0.0147107,0.0001489011,0.001473406,0.0002827502,0.1436749],"genre_scores_gemma":[0.4718942,0.3836734,0.01148405,0.04479827,0.02715448,0.0005703089,0.002374164,0.00006875507,0.05798234],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02183214,"threshold_uncertainty_score":0.07303578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08636992905959319,"score_gpt":0.2981219723111292,"score_spread":0.211752043251536,"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."}}