{"id":"W2166438104","doi":"10.1109/robot.1996.506897","title":"Adaptive transparent impedance reflecting teleoperation","year":2002,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Teleoperation; Robustness (evolution); Control theory (sociology); Adaptive control; Transparency (behavior); Electrical impedance; Computer science; Acceleration; Robust control; Impedance control; Telerobotics; Simulation; Control engineering; Engineering; Control system; Robot; Control (management); Mobile robot; Physics; Artificial intelligence","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":[0.00004557448,0.00008017028,0.00008489702,0.00003245898,0.00005331506,0.00003511766,0.0000426132,0.00003495051,0.0008904635],"category_scores_gemma":[0.000005327412,0.00007240417,0.00002421845,0.00009000397,0.000005817533,0.0001207913,0.000001841341,0.000061638,0.0003115567],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003808768,"about_ca_system_score_gemma":0.000001711588,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001116516,"about_ca_topic_score_gemma":0.00009132115,"domain_scores_codex":[0.9995281,0.00001134568,0.0001580072,0.00009189962,0.0000875136,0.00012314],"domain_scores_gemma":[0.9998273,0.00001426416,0.000007601524,0.00008954229,0.00002189934,0.00003942504],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001497287,0.0001419449,0.001398021,0.0001605477,0.0002217756,0.00002239375,0.02348095,0.3867892,0.1142288,0.03054524,0.04132176,0.4016743],"study_design_scores_gemma":[0.0002029082,0.00003101831,0.000276777,0.00001369931,0.00000424019,0.00001092046,0.0003554738,0.9860014,0.006967377,0.000009233746,0.005972936,0.0001539668],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1605218,0.001173109,0.2650091,0.0002259032,0.001090757,0.0003986879,0.000003787543,0.001831596,0.5697452],"genre_scores_gemma":[0.9966927,0.00004438175,0.001338359,0.00005713783,0.0001248202,0.00001887942,0.000001184627,0.00001452193,0.001708006],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8361709,"threshold_uncertainty_score":0.974995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09349713101119304,"score_gpt":0.2657718151651475,"score_spread":0.1722746841539544,"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."}}