{"id":"W2164601454","doi":"10.1109/cdc.2004.1429379","title":"Packet loss effects in passive telepresence systems","year":2004,"lang":"en","type":"article","venue":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"HLS Therapeutics","keywords":"Packet loss; Computer science; Passivity; Compensation (psychology); Processing delay; Network packet; Transmission delay; Energy (signal processing); Packet processing; Stability (learning theory); Computer network; Real-time computing; Engineering; Electrical engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004280579,0.0006401939,0.0009717752,0.0004183143,0.0001545438,0.0004487908,0.0004961139,0.0004361937,0.0001243991],"category_scores_gemma":[0.00030323,0.0005752131,0.0001489232,0.0003951776,0.0001481758,0.000367279,0.00002662804,0.0004846947,0.001296498],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002911949,"about_ca_system_score_gemma":0.0002069805,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002690299,"about_ca_topic_score_gemma":0.000286313,"domain_scores_codex":[0.9965761,0.0001645008,0.0009407043,0.0007898466,0.000728486,0.0008003083],"domain_scores_gemma":[0.9976441,0.0006120376,0.0001529452,0.0007772716,0.0003419302,0.0004717679],"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":[0.002239471,0.001398397,0.007022758,0.001834211,0.0007989522,0.002955948,0.004804558,0.4980921,0.2390301,0.04529136,0.03454636,0.1619858],"study_design_scores_gemma":[0.05019727,0.002007183,0.01918307,0.007065393,0.0002077805,0.0005045758,0.001397817,0.8843057,0.01410205,0.004067667,0.01224351,0.004718064],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.882695,0.0008838853,0.09915312,0.000357724,0.007022291,0.0021232,0.00009086121,0.0005392459,0.007134708],"genre_scores_gemma":[0.9974335,0.0005085808,0.0003237042,0.0003789084,0.000443849,0.0002488312,0.000009553009,0.00007712941,0.0005759619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3862135,"threshold_uncertainty_score":0.9996699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01138368348842932,"score_gpt":0.2288027853399927,"score_spread":0.2174191018515634,"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."}}