{"id":"W4411231661","doi":"10.1016/j.cirpj.2025.05.015","title":"Optimization of clamping conditions in thin-walled part machining to minimize forced vibrations, Part I: Model for the single tool –workpiece contact location","year":2025,"lang":"en","type":"article","venue":"CIRP journal of manufacturing science and technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Sandvik Coromant; Pratt and Whitney Canada","keywords":"Clamping; Machining; Vibration; Mechanical engineering; Materials science; Engineering; Structural engineering; Acoustics; Physics","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":[0.0004656325,0.00009197352,0.0001772559,0.000570317,0.0002237642,0.00004948856,0.0002441404,0.00007196298,0.000002100884],"category_scores_gemma":[0.0005046815,0.00007739411,0.00002127087,0.0005823995,0.0001103707,0.0004025814,0.00003278368,0.0001570411,8.344567e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007652774,"about_ca_system_score_gemma":0.0001106178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.639951e-7,"about_ca_topic_score_gemma":0.000006591862,"domain_scores_codex":[0.9991515,0.000006770235,0.0004154913,0.0001295425,0.0001251685,0.0001715272],"domain_scores_gemma":[0.9992603,0.0001612848,0.0001676691,0.0001300631,0.0002566724,0.00002400554],"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":[0.00001754473,0.00001142591,0.00006551683,0.00004102915,0.00001078048,2.143844e-7,0.0001693591,0.9889557,0.002176083,0.002116576,0.0000277249,0.006408097],"study_design_scores_gemma":[0.0004740788,0.00005095624,0.0001956121,0.000282671,0.00002450637,0.000006538692,0.000328515,0.9509248,0.04464744,0.002846795,0.000133385,0.00008471846],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06655686,0.0003290244,0.9316137,0.0009515235,0.0001965412,0.0002255341,0.000002729049,0.00003984808,0.00008419865],"genre_scores_gemma":[0.957612,0.0001465302,0.04210382,0.00007057103,0.00001563861,0.00002398165,0.00000192313,0.000007780866,0.00001778763],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8910551,"threshold_uncertainty_score":0.315604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01193669287243623,"score_gpt":0.2527965436649642,"score_spread":0.240859850792528,"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."}}