{"id":"W2176668561","doi":"10.1109/whc.2005.95","title":"Motion Synchronization in Virtual Environments with Shared Haptics and Large Time Delays","year":2005,"lang":"en","type":"preprint","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Artificial Intelligence in Medicine (Canada)","funders":"Korea Science and Engineering Foundation","keywords":"Synchronization (alternating current); Computer science; Haptic technology; Control theory (sociology); Controller (irrigation); Focus (optics); Stability (learning theory); Scheme (mathematics); Consistency (knowledge bases); Feedback controller; Control (management); Simulation; Mathematics; Computer network; Artificial intelligence","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":[0.0007990645,0.0003697695,0.0004593751,0.0002351578,0.000436244,0.0006077266,0.0006050057,0.0006492166,0.000552777],"category_scores_gemma":[0.003615774,0.0002965604,0.0002275025,0.0002658701,0.0008885306,0.001583926,0.001815747,0.0004678754,0.00009720509],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003326423,"about_ca_system_score_gemma":0.0002736223,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007761391,"about_ca_topic_score_gemma":0.0004774099,"domain_scores_codex":[0.9993674,0.0002168895,0.00003184758,0.0001307205,0.000187853,0.00006525246],"domain_scores_gemma":[0.9989791,0.000569283,0.0001586322,0.0001545818,0.00008204816,0.00005645377],"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":[0.0007615929,0.00006700079,0.001083424,0.0001496261,0.00006489952,0.0007318184,0.0008010598,0.7475499,0.1053246,0.06811421,0.0006645723,0.07468739],"study_design_scores_gemma":[0.0001086355,0.0002490501,0.0007120036,0.00001089763,0.0000172616,0.0001734666,0.0001386027,0.952648,0.01843403,0.02539179,0.002087695,0.00002854786],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1828003,0.0002764552,0.8152626,0.0001088532,0.00005243834,0.00001901267,0.00001243086,0.0001857153,0.001282156],"genre_scores_gemma":[0.9654808,0.000104051,0.03327688,0.00001756,0.0000291678,0.00002746774,0.00001524674,0.0000233855,0.001025485],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0007990645,"threshold_uncertainty_score":0.00422591,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00516598465039289,"score_gpt":0.176783993096001,"score_spread":0.1716180084456082,"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."}}