{"id":"W3093950640","doi":"10.1115/1.4048854","title":"Modeling the Dynamics of Five-Axis Machine Tool Using the Multibody Approach","year":2020,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":39,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Multibody system; Machine tool; Vibration; Kinematics; Modal analysis; Finite element method; Control theory (sociology); Rigid body; Computer science; Modal; Degrees of freedom (physics and chemistry); Point (geometry); Engineering; Structural engineering; Mechanical engineering; Acoustics; Artificial intelligence; Physics; Mathematics","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":[0.0004283512,0.0001095774,0.0001471743,0.00007439192,0.0001378653,0.00006349,0.0003185615,0.00002422616,9.423345e-7],"category_scores_gemma":[0.000114891,0.00006511487,0.00003870624,0.0002175602,0.0000590709,0.0003965116,0.00005790661,0.0002745823,6.448992e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004982761,"about_ca_system_score_gemma":0.00002205965,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009033774,"about_ca_topic_score_gemma":4.833329e-7,"domain_scores_codex":[0.9991786,0.000004586454,0.0002720002,0.00008898328,0.0002889195,0.0001668724],"domain_scores_gemma":[0.9996633,0.00003926991,0.00007078122,0.00009221728,0.00007813201,0.00005631289],"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":[0.000004394974,0.000002412602,0.00001324534,0.00009088717,0.00001096583,8.09582e-7,0.0007828018,0.9947514,0.002313507,0.00004551243,7.918151e-7,0.001983252],"study_design_scores_gemma":[0.000114049,0.00001679751,0.00008495273,0.00003861276,0.00001795306,0.00003657067,0.0003367674,0.9948881,0.004352378,0.00001662902,0.00001771923,0.00007943598],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4505964,0.0003105324,0.5488647,0.0000755337,0.00008126217,0.00003687776,0.000001040075,0.00001636709,0.00001727003],"genre_scores_gemma":[0.9760044,0.0001547546,0.02372296,0.00002665764,0.00007483206,5.372008e-7,3.338613e-7,0.0000143452,0.000001212648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.525408,"threshold_uncertainty_score":0.2655307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01276198239766191,"score_gpt":0.221615266254849,"score_spread":0.2088532838571871,"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."}}