{"id":"W2010974146","doi":"10.1109/have.2010.5623980","title":"Exploring human perception-based data reduction for haptic communication in 6-DOF telepresence systems","year":2010,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Haptic technology; Haptic perception; Computer science; Network packet; Virtual reality; Telerobotics; Perception; Reduction (mathematics); Artificial intelligence; Computer vision; Mathematics; Computer network","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004027199,0.00009420584,0.0001238035,0.0001214469,0.0001008319,0.00009769467,0.0003484712,0.00005706468,0.00005806017],"category_scores_gemma":[0.00004433267,0.00009602209,0.00001773888,0.000108676,0.00002407457,0.0005345237,0.00002564792,0.0001563917,0.00002929262],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004326984,"about_ca_system_score_gemma":0.00001348803,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005748656,"about_ca_topic_score_gemma":0.0008287819,"domain_scores_codex":[0.9992579,0.00002675471,0.000296265,0.0001762936,0.0001041666,0.0001386408],"domain_scores_gemma":[0.9988866,0.00006305391,0.00002521782,0.0009330524,0.00005084902,0.00004122047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001070063,0.00009225724,0.001981391,0.000434017,0.00002650632,5.996606e-7,0.001765333,0.0980271,0.8746567,0.01389186,0.003110394,0.006003161],"study_design_scores_gemma":[0.0003888451,0.00001276824,0.003083988,0.00006287813,0.000005741308,0.000005399421,0.001648301,0.9902152,0.0006788496,0.00001460789,0.003722469,0.0001609884],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9534535,0.00005623824,0.04057002,0.0001481883,0.001366853,0.0008470787,0.00001580904,0.000506217,0.003036099],"genre_scores_gemma":[0.9960638,0.00001288921,0.003078546,0.000005415869,0.0001778959,0.0003056393,0.0001726372,0.00002359012,0.0001595366],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8921881,"threshold_uncertainty_score":0.3915667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1992650340163153,"score_gpt":0.3066600803180545,"score_spread":0.1073950463017392,"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."}}