{"id":"W3165366904","doi":"10.1016/j.cirp.2021.04.060","title":"Active control of high frequency chatter with machine tool feed drives in turning","year":2021,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"University of British Columbia; National Science Foundation","keywords":"Control theory (sociology); Vibration; Engineering; Modal; Controller (irrigation); Machine tool; Feed forward; Process (computing); Stability (learning theory); Control engineering; Filter (signal processing); Servo; Control (management); Mechanical engineering; Computer science; Acoustics; Materials science; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00004044731,0.00009714486,0.0001890598,0.00005412303,0.00001966362,0.00001233719,0.00005010222,0.00003878727,0.00007361031],"category_scores_gemma":[0.00004333611,0.00008860646,0.00002091019,0.0001698284,0.00001666529,0.0001814331,0.000008189649,0.0001181775,0.000001881577],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001174383,"about_ca_system_score_gemma":0.00001741307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001237577,"about_ca_topic_score_gemma":0.00002649174,"domain_scores_codex":[0.9994974,0.00001413411,0.0001491411,0.0001216917,0.00007611883,0.0001415408],"domain_scores_gemma":[0.9997012,0.00004223211,0.00004566028,0.0001046171,0.00008343298,0.00002283311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00005209005,0.00003786765,0.006769072,0.0001510197,0.0000821559,0.00003949652,0.001092468,0.9600961,0.01713709,0.0007747129,0.00001810025,0.01374988],"study_design_scores_gemma":[0.009890066,0.0004007503,0.302627,0.001609517,0.000135413,0.00006808508,0.0009776843,0.2898434,0.383238,0.008295638,0.001096691,0.0018177],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6198979,0.001672977,0.375863,0.0003766075,0.0001025498,0.0001377692,0.00004046612,0.0001015683,0.001807207],"genre_scores_gemma":[0.9959176,0.0001251307,0.003679089,0.0001434686,0.00002714624,0.00001203374,0.00002693153,0.00002130254,0.0000473273],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6702526,"threshold_uncertainty_score":0.3613267,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007001771364977215,"score_gpt":0.2243626882347919,"score_spread":0.2173609168698147,"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."}}