{"id":"W2003410663","doi":"10.1109/acc.2012.6315259","title":"Passive velocity filtering for haptic applications with wave control","year":2012,"lang":"en","type":"article","venue":"","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Haptic technology; Filter (signal processing); Computer science; Frequency domain; Noise (video); Control theory (sociology); Passivity; Filter design; Acoustics; Simulation; Engineering; Control (management); Computer vision; Artificial intelligence; Physics","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":[],"consensus_categories":[],"category_scores_codex":[0.00004347179,0.00007080648,0.00009086855,0.00002114451,0.00004937642,0.00002242696,0.00003120706,0.0000285478,0.00008846298],"category_scores_gemma":[0.000003138881,0.00005504981,0.00002052504,0.00003714015,0.000009070885,0.00009182638,0.000002735291,0.00002992299,0.00005048827],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002745747,"about_ca_system_score_gemma":0.000005146389,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000043985,"about_ca_topic_score_gemma":0.00001189989,"domain_scores_codex":[0.99963,0.000003593933,0.00009822487,0.00005702233,0.00004849178,0.0001626444],"domain_scores_gemma":[0.9997396,0.00004380883,0.00001127484,0.0001043246,0.00003201419,0.00006891731],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001471424,0.0004414236,0.006926397,0.001559743,0.001826911,0.00000394273,0.008265438,0.05233475,0.1361809,0.5943655,0.0320898,0.1658581],"study_design_scores_gemma":[0.003361874,0.000104053,0.007923058,0.0000417611,0.0001053112,0.00005903126,0.00113047,0.7557968,0.01183031,0.0001053599,0.2187584,0.0007835552],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006219244,0.00005383546,0.9854979,0.00006984781,0.00009762843,0.000544576,0.0000112045,0.0002465824,0.007259174],"genre_scores_gemma":[0.9911847,0.000001346553,0.007399391,0.00007372334,0.0002208538,0.0006984517,0.000005960781,0.00001685314,0.0003986865],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9849655,"threshold_uncertainty_score":0.2244866,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01480855921186157,"score_gpt":0.2058600535458809,"score_spread":0.1910514943340193,"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."}}