{"id":"W2158883463","doi":"10.1109/whc.2011.5945475","title":"Performance evaluation of haptic data compression methods in teleoperation systems","year":2011,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Haptic technology; Teleoperation; Computer science; Sampling (signal processing); Compression (physics); Compression ratio; Data compression; Simulation; Artificial intelligence; Computer vision; Robot; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00176606,0.00007909899,0.0001520042,0.0001069537,0.00001807347,0.00001445251,0.0001750732,0.00005549093,0.0002288037],"category_scores_gemma":[0.00003798062,0.00006662821,0.000009205937,0.0001289412,0.00001068818,0.0003413933,0.00002752643,0.00005514502,0.0000229869],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003963477,"about_ca_system_score_gemma":0.00002298978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001702739,"about_ca_topic_score_gemma":0.00006019423,"domain_scores_codex":[0.9990115,0.0001636654,0.000378575,0.0001275153,0.0002270651,0.00009169766],"domain_scores_gemma":[0.9993913,0.00002595641,0.00003302483,0.0004232015,0.0001014087,0.00002514572],"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":[0.00003532656,0.0002127034,0.0350775,0.0008362133,0.0001159401,0.000001216215,0.008163511,0.4453948,0.2009268,0.003974769,0.001631621,0.3036295],"study_design_scores_gemma":[0.0003176589,0.0000154288,0.01644048,0.00007145799,0.00001391931,0.000002897396,0.0002713576,0.9773086,0.005307678,0.000002654932,0.0001689866,0.00007887716],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8188542,0.0006849426,0.1015091,0.000003714399,0.001030947,0.0007125798,0.000005361017,0.0001680734,0.07703119],"genre_scores_gemma":[0.9870591,0.00002785354,0.01275383,0.000002958523,0.00002943426,0.00002842698,0.00002731112,0.00001095538,0.00006017501],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5319138,"threshold_uncertainty_score":0.2717019,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2374150377883144,"score_gpt":0.3682835384425501,"score_spread":0.1308685006542358,"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."}}