{"id":"W3166517841","doi":"10.1002/aisy.202100043","title":"Smart Textiles that Teach: Fabric‐Based Haptic Device Improves the Rate of Motor Learning","year":2021,"lang":"en","type":"article","venue":"Advanced Intelligent Systems","topic":"Tactile and Sensory Interactions","field":"Neuroscience","cited_by":17,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"National Centre of Competence in Research Robotics","keywords":"Haptic technology; Motor learning; Motor skill; Work (physics); Control (management); Rehabilitation; Motor control; Motion (physics)","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":[0.0001476077,0.0002229005,0.0003124919,0.00009242538,0.0003143272,0.0001118602,0.0003116677,0.00006393501,0.00009607472],"category_scores_gemma":[0.00140722,0.0001648983,0.0001831284,0.0003212245,0.0001082906,0.0002883706,0.00005779026,0.0004017209,0.0001952051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007108086,"about_ca_system_score_gemma":0.00007724839,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001231322,"about_ca_topic_score_gemma":0.00002908935,"domain_scores_codex":[0.9978729,0.0005520758,0.0004864912,0.0004772657,0.0002724561,0.0003388127],"domain_scores_gemma":[0.9970546,0.001806652,0.0003692062,0.0005271019,0.0001596478,0.00008272855],"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":[0.00004169772,0.0000827266,0.000314594,0.0000820962,0.00001842197,0.00002391748,0.0003877965,0.0085742,0.9864013,0.001003202,0.00006413135,0.003005935],"study_design_scores_gemma":[0.0001329585,0.0001021492,0.0001551581,0.0001584682,0.00002577272,0.00004887203,0.004500321,0.02254348,0.8716992,0.00002923645,0.1004272,0.0001771651],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9643078,0.000687987,0.02137214,0.0006806601,0.003852876,0.001005533,0.00003952299,0.0002564895,0.00779701],"genre_scores_gemma":[0.9895636,0.0001389832,0.00006511206,0.0004077917,0.00007507416,0.00006611647,0.000005382171,0.00003454405,0.009643416],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1147021,"threshold_uncertainty_score":0.6724356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05800654506675323,"score_gpt":0.2983917996999738,"score_spread":0.2403852546332205,"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."}}