{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002360819,0.0001354131,0.0001213981,0.0001194578,0.0001907957,0.00007466618,0.00003455931,0.0002292083,0.0000312827],"category_scores_gemma":[0.000004090574,0.0001536949,0.00003061126,0.0001977202,0.00001824299,0.0002154377,2.1504e-7,0.0003389118,0.000008763328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003429685,"about_ca_system_score_gemma":0.00004181324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003420375,"about_ca_topic_score_gemma":0.00004383047,"domain_scores_codex":[0.9991753,0.00002708298,0.0002656231,0.0001391905,0.0001547925,0.0002380032],"domain_scores_gemma":[0.9997234,0.0000480625,0.00003206962,0.00008986175,0.00003384256,0.00007273245],"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":[0.00009178109,0.00006599035,0.00000578059,0.00001529574,0.00007744305,0.000001674415,0.000310252,0.6845821,0.1384494,0.0001843585,0.0006111725,0.1756048],"study_design_scores_gemma":[0.0008106026,0.0001141749,0.00000930031,0.00001988229,0.00003849596,0.00003181784,0.00005222433,0.7076755,0.2901866,0.00001919404,0.0008356565,0.0002065892],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4226289,0.00004663782,0.5763966,0.00003258529,0.0004163207,0.0001744873,0.00001023557,0.000152377,0.0001417656],"genre_scores_gemma":[0.9992837,0.00003986813,0.0004376433,0.00002699407,0.0001149827,0.000006615558,0.00001272354,0.00002374094,0.00005374442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5766547,"threshold_uncertainty_score":0.6267495,"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."}}