{"id":"W2125877501","doi":"10.1109/iros.2005.1545456","title":"A control scheme for stable force-reflecting teleoperation over IP networks","year":2005,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Teleoperation; Trajectory; Control theory (sociology); Network packet; Discontinuity (linguistics); Scheme (mathematics); Computer science; Stability (learning theory); Channel (broadcasting); Filter (signal processing); Control (management); Mathematics; Computer network; 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":[0.0001755494,0.0001116376,0.0001424259,0.00004010413,0.00009755731,0.000106132,0.00005123051,0.00007804293,0.0003302694],"category_scores_gemma":[0.00002116242,0.0001015609,0.00004726245,0.00007353739,0.000004823012,0.0002409325,0.000003926568,0.00006838902,0.0000342126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006702294,"about_ca_system_score_gemma":0.00001081856,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000177823,"about_ca_topic_score_gemma":0.0002480636,"domain_scores_codex":[0.9993116,0.000009255826,0.0002393959,0.0001177975,0.00007938247,0.0002425675],"domain_scores_gemma":[0.9997091,0.00005486747,0.00001716554,0.00011239,0.0000520239,0.00005442858],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001906735,0.00001819663,0.0006086641,0.00003695173,0.00007770329,2.640958e-7,0.0002331532,0.9389995,0.02125636,0.01136112,0.01674191,0.0106471],"study_design_scores_gemma":[0.0009902922,0.00001998634,0.0001169949,0.000009134759,0.000006928004,0.000002534042,0.00004397935,0.9550219,0.00185145,0.000006576195,0.04179492,0.0001353544],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0483062,0.0002149596,0.9338306,0.0001236692,0.0003575583,0.000576874,0.00000345965,0.0005373953,0.01604931],"genre_scores_gemma":[0.9883384,0.000004795845,0.006968094,0.0003732923,0.0008431387,0.0001178603,0.000009746494,0.00003007017,0.003314671],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9400321,"threshold_uncertainty_score":0.4141533,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01478481386524141,"score_gpt":0.252213045364062,"score_spread":0.2374282314988206,"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."}}