{"id":"W3125674422","doi":"10.1109/tcyb.2020.3043798","title":"Impedance Variation and Learning Strategies in Human–Robot Interaction","year":2021,"lang":"en","type":"review","venue":"IEEE Transactions on Cybernetics","topic":"Muscle activation and electromyography studies","field":"Engineering","cited_by":111,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"Natural Sciences and Engineering Research Council of Canada; Government of Alberta","keywords":"Admittance; Robot; Computer science; Nonlinear system; Electrical impedance; Gaussian; Stability (learning theory); Variation (astronomy); Artificial intelligence; Control theory (sociology); Mechanical impedance; Machine learning; Control (management); Engineering; Physics","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.00009526395,0.0003083812,0.0006182381,0.0003773853,0.0001295832,0.0001076971,0.00006553873,0.0002111188,0.00003603046],"category_scores_gemma":[0.000004519166,0.0003318067,0.0001552415,0.0004699583,0.00002663947,0.0001575851,0.000001067678,0.001056117,0.00000274581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001384513,"about_ca_system_score_gemma":0.00003295481,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004625028,"about_ca_topic_score_gemma":0.0001320697,"domain_scores_codex":[0.998887,0.0001178124,0.0004032468,0.0002598672,0.0001240982,0.0002079442],"domain_scores_gemma":[0.9995199,0.0001868274,0.00007949426,0.0001437219,0.00003269485,0.00003739974],"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":[0.000001097136,0.00003815829,3.191786e-7,0.001761738,0.0001710982,0.000003227105,0.0005633907,0.03925748,0.00005102067,0.0000857573,0.00002309682,0.9580436],"study_design_scores_gemma":[0.0008695036,0.0003389949,0.0003968691,0.01710636,0.001195396,0.0000842895,0.00125448,0.01078155,0.0003305553,0.0001494982,0.9653614,0.002131076],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.0002265088,0.8943108,0.1032252,0.000006445716,0.0005356427,0.0002887262,0.000007264888,0.0002216408,0.001177793],"genre_scores_gemma":[0.04093906,0.9584917,0.0002249388,0.000004707008,0.00004576749,0.0001006533,0.00001441607,0.00005415894,0.0001245532],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9653383,"threshold_uncertainty_score":0.9999134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02822696361212393,"score_gpt":0.2940563852533856,"score_spread":0.2658294216412617,"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."}}