{"id":"W2951019280","doi":"10.1101/319905","title":"Somatosensory Perceptual Training Enhances Motor Learning by Observing","year":2018,"lang":"en","type":"preprint","venue":"bioRxiv (Cold Spring Harbor Laboratory)","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"National Institute of Child Health and Human Development; Natural Sciences and Engineering Research Council of Canada","keywords":"Somatosensory system; Motor learning; Psychology; Proprioception; Perceptual learning; Perception; Motor system; Physical medicine and rehabilitation; Motor skill; Sensory system; Neuroscience; Cognitive psychology; Medicine","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":[0.0001292391,0.0003534135,0.0003663995,0.0001659699,0.00009988496,0.0001554963,0.0002151596,0.0002497556,0.002515921],"category_scores_gemma":[0.0003250253,0.0001028839,0.0001651111,0.00007230321,0.000228224,0.0001770997,0.0002812859,0.000422428,0.0001557201],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008854974,"about_ca_system_score_gemma":0.000129554,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003378892,"about_ca_topic_score_gemma":0.0006191544,"domain_scores_codex":[0.9999226,0.00001231334,0.000008564539,0.00001969516,0.00001637461,0.00002042761],"domain_scores_gemma":[0.9997782,0.00006105136,0.00005815381,0.00002660232,0.00001698831,0.00005891432],"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":[0.001647279,0.002810485,0.0008250114,0.0001468011,0.00002398407,0.0000560105,0.00005652748,0.0002027408,0.9775051,0.00003230283,0.00006909379,0.01662469],"study_design_scores_gemma":[0.0008005723,0.07937384,0.1953523,0.00006428428,0.0001753444,0.0005119282,0.0001911566,0.006809422,0.7138447,0.0003201991,0.002516534,0.00003978072],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990838,0.00005447123,0.0005157586,0.0000220137,0.000008298296,0.00002025331,0.00001423932,0.00002713897,0.0002540222],"genre_scores_gemma":[0.9979182,0.0001107882,0.001270791,0.0000284434,0.00001213698,0.00003064272,0.00004332404,0.000005373256,0.0005802689],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002515921,"threshold_uncertainty_score":0.008416593,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03888917441726564,"score_gpt":0.2678020063971396,"score_spread":0.228912831979874,"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."}}