{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002543431,0.0003982561,0.000610498,0.000298731,0.0004454313,0.0006693415,0.0008657546,0.0007493665,0.006244617],"category_scores_gemma":[0.0002752807,0.0003113947,0.0003137702,0.0002152924,0.0002538217,0.0006604604,0.0008880008,0.0003345018,0.002194314],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001315398,"about_ca_system_score_gemma":0.0002531477,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006217654,"about_ca_topic_score_gemma":0.0005724385,"domain_scores_codex":[0.9997191,0.00003064759,0.00001919747,0.00008493377,0.0001186396,0.00002746355],"domain_scores_gemma":[0.9997917,0.00003603601,0.00002624064,0.00004382047,0.00006349725,0.00003876086],"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":[0.0009172116,0.0002246149,0.001228652,0.0003031816,0.0001361503,0.0007259672,0.0002412233,0.0324173,0.6214733,0.009398617,0.004912845,0.328021],"study_design_scores_gemma":[0.0004926166,0.003123062,0.005611327,0.00006408479,0.0002859937,0.002588796,0.0001007353,0.756437,0.1673009,0.004470496,0.05923458,0.0002903891],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08460221,0.0004405816,0.8948158,0.0002995598,0.0004223943,0.0001694178,0.0001687528,0.005169627,0.01391175],"genre_scores_gemma":[0.8368391,0.0002197922,0.1416144,0.0002466096,0.000164813,0.0002159075,0.0002395144,0.0001069993,0.02035289],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006244617,"threshold_uncertainty_score":0.02089036,"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."}}