{"id":"W4391128804","doi":"10.1109/toh.2024.3357070","title":"Haptic Interactions Subject to Variable Latency","year":2024,"lang":"en","type":"article","venue":"IEEE Transactions on Haptics","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"CM Labs Simulations (Canada); McGill University","funders":"National Research Council Canada; Natural Sciences and Engineering Research Council of Canada","keywords":"Teleoperation; Haptic technology; Latency (audio); Computer science; Virtual reality; Virtual machine; Telerobotics; Simulation; Human–computer interaction; Variable (mathematics); Artificial intelligence; Robot; Mobile robot; Operating system","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":[0.0004025695,0.0005038172,0.0004572758,0.0001859662,0.0003039629,0.001011461,0.0004523807,0.0008652647,0.002726604],"category_scores_gemma":[0.003155282,0.0002591471,0.0002976453,0.0001960091,0.0007475452,0.001343371,0.001703121,0.0006489244,0.0002810299],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003266649,"about_ca_system_score_gemma":0.0003450188,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007424018,"about_ca_topic_score_gemma":0.0003852832,"domain_scores_codex":[0.9995732,0.0001014565,0.00001449042,0.00007800348,0.0001474776,0.00008531685],"domain_scores_gemma":[0.9985782,0.000905167,0.0001557871,0.000203573,0.0001018368,0.00005542737],"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":[0.001316062,0.0001257028,0.002803172,0.0003722749,0.0001025995,0.003065307,0.001010929,0.5184627,0.2497721,0.1458388,0.002086756,0.07504356],"study_design_scores_gemma":[0.00008439533,0.0001933568,0.0008548162,0.00001404486,0.0000213313,0.000628578,0.0001403876,0.9602113,0.0113805,0.02437677,0.002057584,0.00003694156],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2718773,0.0005660743,0.7152221,0.0003190577,0.0001229937,0.00004197586,0.00007153871,0.0005555549,0.01122338],"genre_scores_gemma":[0.9875395,0.0001664682,0.009029415,0.00004644767,0.00004381932,0.00002454956,0.00002278758,0.00004287931,0.003084244],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002726604,"threshold_uncertainty_score":0.009121418,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01669704643485461,"score_gpt":0.2411860673728381,"score_spread":0.2244890209379835,"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."}}