{"id":"W2125226428","doi":"10.1007/s00170-015-7336-3","title":"Dynamic characterization of machining robot and stability analysis","year":2015,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":171,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Sherbrooke","funders":"European Regional Development Fund; Beijing International Studies University; Agence Nationale de la Recherche","keywords":"Machining; Workspace; Robot; Modal analysis; Machine tool; Vibration; Rigidity (electromagnetism); Engineering; Modal; Mechanical engineering; Stability (learning theory); Flexibility (engineering); Control engineering; Computer science; Artificial intelligence; Structural engineering; Materials science; Finite element method; Acoustics; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002057901,0.0003369673,0.0003195967,0.0007905689,0.0004977183,0.0003357281,0.0005422175,0.0004167866,0.004657784],"category_scores_gemma":[0.0005608797,0.0002258597,0.0002244048,0.0004178195,0.0002863726,0.0004391613,0.0002341448,0.0002121196,0.000763041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003312799,"about_ca_system_score_gemma":0.0003644669,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001493552,"about_ca_topic_score_gemma":0.001226319,"domain_scores_codex":[0.9997453,0.00001663509,0.000009093616,0.00004938527,0.0001494284,0.00003016095],"domain_scores_gemma":[0.9996763,0.00007507548,0.00003642548,0.00004140665,0.0001571185,0.00001359324],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005363912,0.00009797284,0.003711947,0.0002053185,0.00002167699,0.0002216942,0.000237387,0.04202562,0.879315,0.002675697,0.0007860924,0.07016514],"study_design_scores_gemma":[0.00004632828,0.0008274709,0.05203375,0.00002860702,0.00003596696,0.0006233359,0.0002579348,0.4047762,0.529539,0.001463101,0.01030579,0.00006237952],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7051845,0.0005004206,0.2712903,0.0001577472,0.00003558203,0.0002491662,0.0007121899,0.00107162,0.02079845],"genre_scores_gemma":[0.9819165,0.00006809628,0.01310242,0.00001261681,0.000005028641,0.00007478159,0.0003203836,0.00004239084,0.004457709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004657784,"threshold_uncertainty_score":0.01558179,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008079382080213327,"score_gpt":0.2412809086933133,"score_spread":0.2332015266130999,"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."}}