{"id":"W4414558901","doi":"10.3390/jmmp9100323","title":"Bayesian Model Updating for Chatter in Milling","year":2025,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Modal; Machining; Bayesian probability; Vibration; Machine tool; Modal analysis; Stability (learning theory)","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":[0.003072434,0.001121146,0.001585683,0.000683506,0.000573157,0.001014727,0.001688046,0.00112911,0.001300923],"category_scores_gemma":[0.01256147,0.0008893479,0.0006492216,0.0004380592,0.0009871414,0.001553675,0.001398206,0.001843323,0.0003072265],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007882963,"about_ca_system_score_gemma":0.0009902064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006544666,"about_ca_topic_score_gemma":0.007508893,"domain_scores_codex":[0.9987702,0.0004465065,0.00006419373,0.0002620702,0.0003552319,0.0001017359],"domain_scores_gemma":[0.9955679,0.003041136,0.0004292352,0.0002681522,0.0006140512,0.0000795264],"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":[0.0001185489,0.00005377687,0.0009756886,0.0001065096,0.00004922171,0.00005653176,0.0001440474,0.9350249,0.003170197,0.008115729,0.0004103928,0.05177449],"study_design_scores_gemma":[0.000004297161,0.00001193793,0.0001317071,0.000004107828,0.000004194093,0.000006499228,0.000003570982,0.9975402,0.0004224211,0.001753713,0.0001106834,0.000006584436],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01369595,0.0001349905,0.9852111,0.00007624694,0.00001774593,0.00002302971,0.00002053304,0.0002041041,0.000616161],"genre_scores_gemma":[0.8504176,0.000248257,0.1465129,0.0001528559,0.00004859527,0.0001735591,0.0001525988,0.000133277,0.00216049],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006544666,"threshold_uncertainty_score":0.01624882,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0069861012138076,"score_gpt":0.2460732364160108,"score_spread":0.2390871352022032,"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."}}