{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002046991,0.00009219223,0.0002004286,0.0003762062,0.00002212599,0.0000150276,0.0003353777,0.00005221415,0.000006248299],"category_scores_gemma":[0.00009005988,0.00007123174,0.00004427671,0.0001810939,0.00006538492,0.0002401237,0.00007263306,0.0001965445,2.721538e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007811945,"about_ca_system_score_gemma":0.00001677415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00000147907,"about_ca_topic_score_gemma":0.000006448864,"domain_scores_codex":[0.9992798,0.00001025924,0.0003477858,0.00007942898,0.0001932021,0.00008952471],"domain_scores_gemma":[0.9993182,0.00003981368,0.0002825713,0.0001207584,0.0002080234,0.00003062587],"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":[0.00008407605,0.00001773733,0.0008563147,0.00001653488,0.0004076666,0.000004973104,0.0003259375,0.8756121,0.07078367,0.000257568,0.00000103433,0.05163233],"study_design_scores_gemma":[0.001258668,0.0001834809,0.009485386,0.00008591108,0.0002936775,0.0001572676,0.0007927394,0.1697146,0.8016867,0.01548178,0.0005956328,0.0002640917],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7215044,0.0001808127,0.277614,0.0003481906,0.0002309543,0.00003299599,0.000004674601,0.00004827189,0.00003571873],"genre_scores_gemma":[0.9799012,0.0003759524,0.01966621,0.00001402865,0.00001738812,0.000001666522,0.000007529045,0.00001142701,0.000004585877],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7309031,"threshold_uncertainty_score":0.2904746,"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."}}