{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00009354401,0.0001844199,0.0001556407,0.0003162812,0.000114206,0.0001924569,0.0001057087,0.00007518242,0.0007389928],"category_scores_gemma":[0.000004097426,0.0001853906,0.00008770167,0.0004948754,0.00001417278,0.0001924326,5.58689e-7,0.0003096923,0.002779527],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001477732,"about_ca_system_score_gemma":0.00003859769,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003573615,"about_ca_topic_score_gemma":0.00008772137,"domain_scores_codex":[0.999086,0.0000177296,0.0002792962,0.0002116403,0.0001622309,0.0002430706],"domain_scores_gemma":[0.9994327,0.0001134857,0.000006750297,0.0002569364,0.00004435004,0.0001457313],"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":[0.00001631324,0.0001170676,0.000002175277,0.0002624347,0.0003473706,0.00003683811,0.001950327,0.8896177,0.0661845,0.006368982,0.01286839,0.02222788],"study_design_scores_gemma":[0.0001743962,0.0001115917,0.0000138563,0.0002196549,0.0001016267,0.00008792379,0.0001485904,0.8281212,0.008327921,0.0001165012,0.1621659,0.0004107778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005405858,0.0000889482,0.9690935,0.0002517215,0.006280613,0.0002398528,0.00005105018,0.001390789,0.01719768],"genre_scores_gemma":[0.9876075,0.00004360935,0.003231794,0.0001459473,0.0001611501,0.00008374525,0.00000248307,0.00006631749,0.008657424],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9822017,"threshold_uncertainty_score":0.9979969,"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."}}