{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002496206,0.00009293977,0.0002046847,0.0001375281,0.00007184353,0.0001350516,0.00005959351,0.00004965063,0.000002044908],"category_scores_gemma":[0.00002464898,0.00008977322,0.00001833669,0.00003692961,0.000008811178,0.0003005643,0.00001404042,0.00008200942,4.276749e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002669747,"about_ca_system_score_gemma":0.00002107059,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001689015,"about_ca_topic_score_gemma":0.000002890356,"domain_scores_codex":[0.9993543,0.000005689478,0.0003679054,0.00007898529,0.00005056331,0.0001425585],"domain_scores_gemma":[0.9997659,0.00002572059,0.0001158672,0.00003487394,0.00003471505,0.00002292945],"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":[0.00004501134,0.000009139226,0.00001821169,0.00186218,0.00001416449,0.00000220894,0.0004165868,0.8800799,0.01756939,0.00002744454,0.00003252568,0.09992322],"study_design_scores_gemma":[0.0007452953,0.00002248634,0.0000793017,0.001204739,0.00002795647,0.00001351586,0.0001786959,0.3369563,0.6539055,0.006516033,0.0001869135,0.0001632353],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3938826,0.0003811841,0.6053622,0.00005239938,0.0001564243,0.00004904662,0.000001538645,0.00002186913,0.00009272923],"genre_scores_gemma":[0.9362808,0.000156615,0.06338806,0.00005942327,0.00006738982,0.000004153733,0.000001476174,0.00001673921,0.00002535889],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6363361,"threshold_uncertainty_score":0.3660846,"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."}}