{"id":"W4386293303","doi":"10.1115/1.4063286","title":"Virtual Dynamics Model for Five-Axis Machining of Thin-Walled Blades","year":2023,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Machining; End mill; Vibration; Ball (mathematics); Finite element method; Machine tool; Structural engineering; Mechanical engineering; Engineering; Blade (archaeology); Frequency response; Acoustics; Geometry; Physics; Mathematics","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":[],"consensus_categories":[],"category_scores_codex":[0.0005522112,0.0001141255,0.0001944399,0.0003754191,0.00008860703,0.00004520891,0.0001998009,0.00003816149,6.749733e-7],"category_scores_gemma":[0.0001659669,0.0001037106,0.00004465098,0.0002275631,0.00004244805,0.0005169795,0.00003955244,0.0001516149,2.434158e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006570296,"about_ca_system_score_gemma":0.00003168968,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001125455,"about_ca_topic_score_gemma":9.140416e-7,"domain_scores_codex":[0.9991167,0.000001690484,0.0002909953,0.0001001786,0.000257677,0.0002328179],"domain_scores_gemma":[0.9995734,0.00009004631,0.00008816288,0.00007326416,0.00009726352,0.00007788276],"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":[0.000007889469,0.000002587424,0.00001024255,0.0001334354,0.00001239349,0.000001359626,0.0007511855,0.9897887,0.001890024,0.0001947946,0.00001513937,0.007192286],"study_design_scores_gemma":[0.0002326759,0.00005258995,0.0003974697,0.0001039587,0.00001216922,0.00001292264,0.0001941744,0.9843125,0.01431287,0.0002309961,0.00002853262,0.000109149],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5428157,0.00007448245,0.45674,0.00002284555,0.0002015586,0.00003956853,0.000003565732,0.0000652528,0.00003702364],"genre_scores_gemma":[0.9761481,0.0002485152,0.02349401,0.00000602908,0.00004540936,0.000001988277,0.000001242847,0.00002141597,0.00003326646],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4333324,"threshold_uncertainty_score":0.4229196,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009306890616064874,"score_gpt":0.2295631030379376,"score_spread":0.2202562124218728,"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."}}