{"id":"W2169811673","doi":"10.1109/icma.2009.5246758","title":"Centralized multi-user multi-rate haptic cooperation using wave transformation","year":2009,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Computer science; Haptic technology; Transformation (genetics); Object (grammar); Position (finance); Virtual machine; Stability (learning theory); State (computer science); Coupling (piping); Perspective (graphical); Distributed computing; Simulation; Human–computer interaction; Operating system; Artificial intelligence; 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":[0.0008791144,0.0007063281,0.0008104382,0.0003050452,0.0003833059,0.0008542092,0.001413407,0.0005545063,0.00183479],"category_scores_gemma":[0.001331248,0.0002784182,0.0005810161,0.0002093373,0.0007657369,0.001372386,0.001256658,0.0006527213,0.0004780997],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003533008,"about_ca_system_score_gemma":0.0004453451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007909596,"about_ca_topic_score_gemma":0.0005773272,"domain_scores_codex":[0.9991365,0.000216995,0.00004047955,0.0001564716,0.0003643206,0.00008519756],"domain_scores_gemma":[0.9991208,0.0002929943,0.0001468063,0.0002014498,0.0001807125,0.00005721413],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0006114758,0.00036892,0.001400259,0.0002537473,0.0001516591,0.0007261888,0.0007018232,0.5658382,0.1537128,0.0831371,0.001546411,0.1915516],"study_design_scores_gemma":[0.00003606872,0.0001754318,0.0001543999,0.000005693278,0.00001511808,0.0001360912,0.00002919684,0.9850787,0.00924425,0.004022953,0.001077963,0.000024124],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01955639,0.00006933434,0.9780042,0.00004791495,0.00002029371,0.00003799904,0.000003963999,0.0002662453,0.001993693],"genre_scores_gemma":[0.8877816,0.0001027899,0.1084625,0.00004760865,0.00003831556,0.00009908508,0.00001691051,0.00003926708,0.003411925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00183479,"threshold_uncertainty_score":0.006137967,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0441480876928827,"score_gpt":0.2554999118631074,"score_spread":0.2113518241702247,"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."}}