{"id":"W1484694549","doi":"10.4271/2003-01-2915","title":"Adaptive Feedforward Chatter Suppression in Machining","year":2003,"lang":"en","type":"article","venue":"SAE technical papers on CD-ROM/SAE technical paper series","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Machining; Feed forward; Control theory (sociology); Computer science; Control engineering; Engineering; Mechanical engineering; Artificial intelligence; Control (management)","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004069128,0.0006863938,0.0007239267,0.0002662016,0.000225862,0.00007803903,0.0005245708,0.0006478696,0.0004445944],"category_scores_gemma":[0.000431629,0.0006201006,0.0002172177,0.0007570519,0.000281508,0.000667725,0.0001494842,0.001425574,0.00007058345],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002803617,"about_ca_system_score_gemma":0.00004193421,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001120732,"about_ca_topic_score_gemma":0.01005152,"domain_scores_codex":[0.9967964,0.0001015263,0.0008351488,0.000835706,0.0005330626,0.0008981268],"domain_scores_gemma":[0.9985595,0.0002745703,0.0001175009,0.000738282,0.00005620855,0.0002539403],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"observational","study_design_scores_codex":[0.0002586548,0.0002483257,0.0006900722,0.0001289854,0.0000420632,0.0000725668,0.000134384,0.03442324,0.9341575,0.01849678,0.001479418,0.009868046],"study_design_scores_gemma":[0.001391549,0.0007712856,0.9549171,0.0006097851,0.0000527341,0.00008751048,0.0002193664,0.00001356204,0.0005661236,0.004504993,0.03557097,0.001294971],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4893472,0.003777858,0.0008207192,0.003111775,0.001990207,0.003439113,0.0001401481,0.01445515,0.4829178],"genre_scores_gemma":[0.9827014,0.0005454065,0.01526744,0.0007582798,0.00007006736,0.0002247704,0.00003868288,0.0001761943,0.0002177675],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9542271,"threshold_uncertainty_score":0.999625,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009608132558143148,"score_gpt":0.2360962655031587,"score_spread":0.2264881329450156,"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."}}