{"id":"W3156381668","doi":"10.1016/j.robot.2021.103781","title":"A hybrid position–rate teleoperation system","year":2021,"lang":"en","type":"article","venue":"Robotics and Autonomous Systems","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":false,"ca_institutions":"Queen's University","funders":"","keywords":"Teleoperation; Computer science; Workspace; Position (finance); Task (project management); Simulation; Stability (learning theory); Control theory (sociology); Mode (computer interface); Real-time computing; Control (management); Robot; Artificial intelligence; Human–computer interaction; Engineering","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":[0.000185806,0.0001733006,0.0002828919,0.00005891111,0.0001531403,0.0004054299,0.00005483675,0.00007097229,0.00001080206],"category_scores_gemma":[0.000007970036,0.0001727101,0.00004196567,0.00008780955,0.00001563716,0.0001209048,0.00001762846,0.00008998178,0.00009764123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001297824,"about_ca_system_score_gemma":0.00005365882,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000299512,"about_ca_topic_score_gemma":0.00001068972,"domain_scores_codex":[0.9989835,0.00007353217,0.0003973416,0.0002154933,0.0001149739,0.0002151298],"domain_scores_gemma":[0.9994782,0.00002989327,0.0000377892,0.000222814,0.0001179826,0.0001133578],"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":[0.000002826239,0.00002856375,0.000174518,0.0009494285,0.0001274896,0.0001895713,0.0003875341,0.8679645,0.01341241,0.1139887,0.001292892,0.001481556],"study_design_scores_gemma":[0.0003595665,0.00003202128,0.0002069498,0.0002020987,0.00003239346,0.001025351,0.0006744173,0.9863712,0.001966379,0.00001246224,0.00880708,0.0003101444],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3665761,0.01966187,0.5104067,0.0008437827,0.01451848,0.001903322,0.0001949132,0.004260436,0.08163439],"genre_scores_gemma":[0.9978746,0.00005449006,0.0005618868,0.00003463899,0.0003243106,0.00003283776,0.00005202174,0.00003623058,0.001028961],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6312985,"threshold_uncertainty_score":0.7042913,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007999952001575824,"score_gpt":0.1864913704307892,"score_spread":0.1784914184292134,"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."}}