{"id":"W4367662652","doi":"10.1109/vrw58643.2023.00083","title":"Mixed Reality Human Teleoperation","year":2023,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Telerobotics; Haptic technology; Computer science; Human–computer interaction; Virtual reality; Human–robot interaction; Mixed reality; Simulation; Robot; Artificial intelligence; Mobile robot","routes":{"ca_aff":true,"ca_fund":true,"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":[0.000545821,0.0008443173,0.0004859841,0.0003408808,0.0002799552,0.001697794,0.0007644082,0.001184399,0.01151103],"category_scores_gemma":[0.001211066,0.0002115628,0.0004470524,0.0002357541,0.0008044308,0.001277016,0.001399019,0.0007210324,0.002114018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000255013,"about_ca_system_score_gemma":0.0002489447,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003566557,"about_ca_topic_score_gemma":0.0002822479,"domain_scores_codex":[0.9992368,0.0002304432,0.00002700728,0.00014851,0.0003130294,0.00004411292],"domain_scores_gemma":[0.9995264,0.0002228515,0.00003397034,0.0001081059,0.00007917784,0.00002948145],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000756838,0.0001966516,0.001077454,0.001533778,0.0002203049,0.0007361195,0.001313055,0.02526021,0.1849688,0.1412468,0.01432729,0.6283627],"study_design_scores_gemma":[0.0002413037,0.002501622,0.003551391,0.000494345,0.0002499553,0.007701277,0.0007457343,0.3391491,0.111741,0.1033814,0.4299422,0.0003007427],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0075907,0.002581821,0.9643769,0.0003351367,0.0002449407,0.00008275794,0.00008035645,0.00109674,0.02361067],"genre_scores_gemma":[0.5803273,0.003798471,0.3766903,0.0008666933,0.000348031,0.0003665082,0.0003250431,0.0002739449,0.03700382],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01151103,"threshold_uncertainty_score":0.03850824,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0632094497647423,"score_gpt":0.2667504198903092,"score_spread":0.2035409701255669,"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."}}