{"id":"W2094105667","doi":"10.1109/iros.2010.5651279","title":"Performance analysis of a manipulation task in time-delayed teleoperation","year":2010,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta; University of British Columbia","funders":"","keywords":"Teleoperation; Haptic technology; Task (project management); Computer science; Robot; Simulation; Telerobotics; Human–computer interaction; Artificial intelligence; Engineering; Mobile robot","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":[0.0001314244,0.00005581768,0.0001311911,0.0002796109,0.00001232116,0.00001664527,0.0000513466,0.00005402028,0.0006187373],"category_scores_gemma":[0.000006482926,0.00005133207,0.00002938866,0.0004790522,0.00000608876,0.0001234792,0.000004015456,0.00006285469,0.00006058031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001248942,"about_ca_system_score_gemma":0.00000496546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006267658,"about_ca_topic_score_gemma":0.0009859997,"domain_scores_codex":[0.9995219,0.000007162062,0.0002352173,0.00006704046,0.0001005575,0.00006811615],"domain_scores_gemma":[0.9998027,0.00001125667,0.00001591249,0.0001215596,0.00002936543,0.00001919405],"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":[0.000007701479,0.00003033218,0.1504789,0.00002337491,0.0001854091,4.254916e-7,0.0007282095,0.4339298,0.4096587,0.0007533682,0.0001657547,0.004038058],"study_design_scores_gemma":[0.0001005367,0.000007704769,0.1803646,0.000001980037,0.00002855534,5.11977e-7,0.00001285627,0.8164477,0.002857236,6.699948e-7,0.0001257787,0.00005183399],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9884928,0.000004045863,0.002158951,0.000008632364,0.00009286922,0.00008460706,0.000001684455,0.00007943662,0.009076959],"genre_scores_gemma":[0.9990923,0.000003523983,0.0004725374,0.000008809182,0.00002211272,0.000007756219,0.00003109223,0.000006518696,0.0003553236],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4068015,"threshold_uncertainty_score":0.677474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006391668470315365,"score_gpt":0.2011815146447962,"score_spread":0.1947898461744809,"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."}}