{"id":"W4212777341","doi":"10.1016/j.ymssp.2022.108945","title":"Multibody dynamic modeling of five-axis machine tools with improved efficiency","year":2022,"lang":"en","type":"article","venue":"Mechanical Systems and Signal Processing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Multibody system; Kinematics; Jacobian matrix and determinant; Vibration; Machine tool; Control theory (sociology); Substructure; Computer science; Computation; Engineering; Algorithm; Mathematics; Structural engineering; Mechanical engineering; Artificial intelligence; Physics; Applied 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":[0.0002759613,0.0005224055,0.0004852633,0.0004953081,0.0003319438,0.0007831278,0.001015269,0.00100099,0.002913228],"category_scores_gemma":[0.0005782226,0.0003499403,0.000625128,0.0005076235,0.0003317106,0.000697349,0.0003900357,0.0003214776,0.0005845733],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002998933,"about_ca_system_score_gemma":0.0003528326,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003543689,"about_ca_topic_score_gemma":0.002984637,"domain_scores_codex":[0.9998466,0.00003763628,0.000008230157,0.0000193876,0.00006824228,0.00001982448],"domain_scores_gemma":[0.9998205,0.00006193679,0.00003749534,0.00002663066,0.00004250063,0.00001087332],"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":[0.00002833309,0.00001769069,0.0002174248,0.00002855406,0.000007278747,0.00005738078,0.0000351092,0.9878855,0.003568082,0.002769841,0.0001350306,0.005249695],"study_design_scores_gemma":[0.000002787706,0.00001160311,0.000125332,0.000002222652,0.00000179301,0.000008878466,0.000005861798,0.9988583,0.0004516856,0.0002590109,0.0002704786,0.000002070934],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2031988,0.0004848838,0.7666331,0.0001691121,0.00006893649,0.0000658377,0.0001971184,0.0004774586,0.02870477],"genre_scores_gemma":[0.9719642,0.0001437374,0.02224255,0.00002226298,0.000009118874,0.00005031953,0.00007252068,0.0000675047,0.005427654],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003543689,"threshold_uncertainty_score":0.009745777,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0086119826697677,"score_gpt":0.2205249673552737,"score_spread":0.211912984685506,"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."}}