{"id":"W2017481364","doi":"10.1115/1.1789531","title":"Dynamic Compensation of Spindle Integrated Force Sensors With Kalman Filter","year":2004,"lang":"en","type":"article","venue":"Journal of Dynamic Systems Measurement and Control","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":90,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Kalman filter; Compensation (psychology); Bandwidth (computing); Contact force; Force dynamics; SIGNAL (programming language); Control theory (sociology); Filter (signal processing); Signal processing; Engineering; Computer science; Electronic engineering; Mechanical engineering; Physics; Digital signal processing; Electrical engineering; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004939238,0.0006107716,0.00049232,0.0003582576,0.0003139027,0.0004449772,0.0006041218,0.0006207636,0.0009408148],"category_scores_gemma":[0.001396306,0.0003554613,0.0003049105,0.0003416235,0.0002013911,0.0007442055,0.0003159034,0.0004840908,0.000378582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004413659,"about_ca_system_score_gemma":0.0004596823,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00508596,"about_ca_topic_score_gemma":0.004801431,"domain_scores_codex":[0.9995214,0.00006497325,0.00002634306,0.0001239001,0.0002212898,0.00004221431],"domain_scores_gemma":[0.9996529,0.0001080775,0.00005085927,0.00003337775,0.000145506,0.000009315899],"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":[0.0005627717,0.0001239225,0.003384568,0.0004193505,0.0001464728,0.0002042078,0.0002989076,0.2449741,0.1468124,0.007819283,0.002616779,0.5926372],"study_design_scores_gemma":[0.00004572242,0.0001938903,0.002492974,0.00002327225,0.00004231666,0.0001028367,0.00001725716,0.9605889,0.03064542,0.00112974,0.00468401,0.00003358841],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02259834,0.0004373226,0.9747655,0.00009582126,0.00007668597,0.00002259456,0.00003272658,0.0007087897,0.001262201],"genre_scores_gemma":[0.858745,0.0005591683,0.1365426,0.00009985193,0.00008161608,0.00008745287,0.0001770861,0.00005825483,0.003648999],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00508596,"threshold_uncertainty_score":0.0101127,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006913623496983904,"score_gpt":0.1957280345596152,"score_spread":0.1888144110626313,"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."}}