{"id":"W2809860803","doi":"10.1115/1.4040726","title":"Dynamics and Stability of Turn-Milling Operations With Varying Time Delay in Discrete Time Domain","year":2018,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Kinematics; Time domain; Cartesian coordinate system; Stability (learning theory); Mechanism (biology); Machine tool; Mechanical engineering; Vibration; Process (computing); Chip; Turn (biochemistry); Control theory (sociology); Machining; Engineering; Computer science; Geometry; Acoustics; Mathematics; Physics; Classical mechanics; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002154369,0.0003018052,0.0002738321,0.000214572,0.000195285,0.0004626159,0.0002673961,0.0003757832,0.0006157846],"category_scores_gemma":[0.0006892469,0.0001550409,0.00030333,0.0001200524,0.0006201326,0.0003125908,0.0002418622,0.0003954074,0.00008921422],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004613611,"about_ca_system_score_gemma":0.0003382355,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003569369,"about_ca_topic_score_gemma":0.001711161,"domain_scores_codex":[0.9999208,0.00001338617,0.000003380553,0.00002112292,0.0000286269,0.00001272107],"domain_scores_gemma":[0.9996232,0.0002008134,0.00008766726,0.00002012238,0.00005226939,0.00001588036],"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":[0.0001883292,0.00003992047,0.002693685,0.0000718461,0.00003258979,0.0002501675,0.0002624465,0.9377473,0.03984432,0.01157979,0.0001878035,0.007101771],"study_design_scores_gemma":[0.000003737384,0.00001860997,0.0004292449,0.000001739803,0.000002644678,0.00001599858,0.00001012464,0.9977586,0.00127219,0.0004181373,0.00006560367,0.000003338649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6474195,0.0003584043,0.34773,0.0001430419,0.00001877576,0.00002706738,0.0000819885,0.0001828405,0.004038362],"genre_scores_gemma":[0.9966703,0.0000712127,0.002463687,0.000004902485,0.000001663862,0.00001060577,0.00002159287,0.000007449264,0.0007485238],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003569369,"threshold_uncertainty_score":0.007097185,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003594667589623027,"score_gpt":0.1989329328632292,"score_spread":0.1953382652736061,"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."}}