{"id":"W2037264876","doi":"10.1016/s0007-8506(07)60703-3","title":"Dynamic Compensation of Spindle-Integrated Force Sensors","year":2004,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":101,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Compensation (psychology); Contact force; SIGNAL (programming language); Kalman filter; Bandwidth (computing); Engineering; Acoustics; Force dynamics; Filter (signal processing); Control theory (sociology); Mechanical engineering; Computer science; Physics; Electrical engineering; Classical mechanics","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":[0.0002393235,0.0004335404,0.0003241487,0.0003414521,0.0002454879,0.000444585,0.0006238879,0.0005665988,0.001169436],"category_scores_gemma":[0.0007192262,0.0002461932,0.0001173869,0.0003640349,0.0001786496,0.0004543549,0.0002636563,0.0002737799,0.0002877213],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000332192,"about_ca_system_score_gemma":0.0002072599,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009334058,"about_ca_topic_score_gemma":0.001994897,"domain_scores_codex":[0.9997079,0.00002707377,0.000006413215,0.00007156652,0.0001589759,0.00002806238],"domain_scores_gemma":[0.9996685,0.00007274684,0.00006136557,0.00002934664,0.0001548263,0.00001322865],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.001091068,0.000125465,0.002336621,0.0001667353,0.00003879413,0.000112228,0.0001998664,0.03355939,0.7196553,0.003018782,0.002175515,0.2375202],"study_design_scores_gemma":[0.00008929825,0.0007173719,0.01326365,0.00004075731,0.00005294062,0.0003817221,0.00006658124,0.6220632,0.3533386,0.001320133,0.008617424,0.00004830215],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3905597,0.001064418,0.5963019,0.0002844235,0.0002119649,0.00005563298,0.0001430209,0.0007954592,0.01058351],"genre_scores_gemma":[0.9685081,0.0001522747,0.02733924,0.00005187768,0.00003297923,0.00001913945,0.00008233121,0.00002226258,0.00379173],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001169436,"threshold_uncertainty_score":0.003912151,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01361560503653358,"score_gpt":0.2647171697418882,"score_spread":0.2511015647053546,"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."}}