{"id":"W3187839774","doi":"10.7554/elife.65085","title":"Learning to stand with unexpected sensorimotor delays","year":2021,"lang":"en","type":"article","venue":"eLife","topic":"Motor Control and Adaptation","field":"Neuroscience","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"Vancouver Coastal Health; Ontario Brain Institute; University of New Brunswick; University of Calgary; Hotchkiss Brain Institute; University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; University of Otago","keywords":"Balance (ability); Vestibular system; Sensory system; Motion (physics); Physical medicine and rehabilitation; Motor learning; Perception; Motor control; Psychology; Computer science; Control (management); Control theory (sociology); Neuroscience; Artificial intelligence; 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":[0.0001347524,0.0003703458,0.0001158022,0.00006445352,0.0001021143,0.0002327712,0.0002615821,0.0002448514,0.001459739],"category_scores_gemma":[0.000948944,0.0001304457,0.0001274165,0.00003175812,0.0002951816,0.0004028553,0.0004703144,0.0005280564,0.0001592656],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001446494,"about_ca_system_score_gemma":0.0002527994,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006008412,"about_ca_topic_score_gemma":0.0009554146,"domain_scores_codex":[0.9999386,0.00000739886,0.000005208619,0.00001940344,0.00001539178,0.00001402432],"domain_scores_gemma":[0.999842,0.0000510089,0.00003691165,0.00002498353,0.00001954028,0.00002548518],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004271652,0.0002801482,0.002495967,0.0001579172,0.00004417228,0.0002396648,0.0001941476,0.03127912,0.9062529,0.002853944,0.0002827305,0.05549215],"study_design_scores_gemma":[0.0002434817,0.004702056,0.03657281,0.00008607255,0.0001166497,0.0005902425,0.0003456093,0.4320491,0.489642,0.02662864,0.008933531,0.00008982279],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9214212,0.00009434887,0.07491713,0.0002128221,0.00006095938,0.00004733137,0.00004195023,0.0002656867,0.002938641],"genre_scores_gemma":[0.9883868,0.00008742152,0.01021798,0.00004913237,0.000005668824,0.00003341978,0.00003223679,0.00001308021,0.001174272],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001459739,"threshold_uncertainty_score":0.004883349,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02107897701913809,"score_gpt":0.2422358304615462,"score_spread":0.2211568534424081,"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."}}