{"id":"W2139831829","doi":"10.1109/tie.2007.899936","title":"Velocity Estimation by Using Position and Acceleration Sensors","year":2007,"lang":"en","type":"article","venue":"IEEE Transactions on Industrial Electronics","topic":"Teleoperation and Haptic Systems","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canadian Space Agency","funders":"","keywords":"Accelerometer; Encoder; Control theory (sociology); Computer science; Bandwidth (computing); Acceleration; Rotary encoder; Observer (physics); Artificial intelligence; Physics; Telecommunications","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000377078,0.0008523641,0.0006362309,0.0009459173,0.0002585602,0.0008599943,0.0006684494,0.0008585418,0.001178793],"category_scores_gemma":[0.002262803,0.0004281625,0.000267044,0.0006801686,0.0003232904,0.001564416,0.0006806653,0.0005753244,0.0007113799],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002015039,"about_ca_system_score_gemma":0.0005074878,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001871926,"about_ca_topic_score_gemma":0.002100326,"domain_scores_codex":[0.9994453,0.00007091724,0.00003661071,0.000149439,0.0002526738,0.00004513168],"domain_scores_gemma":[0.9993793,0.0001686231,0.0001362228,0.0001190307,0.0001692345,0.00002753159],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005047879,0.000141121,0.004651371,0.000344124,0.00008040605,0.0001919909,0.0002008801,0.05860321,0.211204,0.007436021,0.002014605,0.7146275],"study_design_scores_gemma":[0.0000653632,0.0004404094,0.007802856,0.00006963366,0.00007142373,0.0005283396,0.00006464429,0.8425732,0.1315109,0.00528819,0.01147035,0.0001147812],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.025438,0.0003531048,0.970924,0.00007636335,0.0001170766,0.00003638874,0.00005658954,0.001177643,0.001820868],"genre_scores_gemma":[0.6177321,0.0007581987,0.3762173,0.00009577343,0.0001271754,0.00007431697,0.0002453928,0.00007289324,0.004676839],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001871926,"threshold_uncertainty_score":0.003943503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02823274466326446,"score_gpt":0.2487026814180267,"score_spread":0.2204699367547622,"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."}}