{"id":"W2949594906","doi":"10.1016/j.dib.2019.104145","title":"Simulations and error analysis of the CNC milling of a face gear tooth with given tool paths","year":2019,"lang":"en","type":"article","venue":"Data in Brief","topic":"Gear and Bearing Dynamics Analysis","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Key Research and Development Program of Hunan Province of China; State Key Laboratory of High Performance Complex Manufacturing; Central South University; Key Research and Development Project of Hainan Province; National Natural Science Foundation of China","keywords":"Machining; Face (sociological concept); Milling cutter; Computer science; Numerical control; Process (computing); Engineering drawing; Error analysis; Mechanical engineering; Engineering; 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":[0.00009321696,0.00005293644,0.0001744262,0.0001070553,0.0000114785,0.00001000631,0.0001923022,0.00002390915,0.00002406685],"category_scores_gemma":[0.00001924697,0.00003891039,0.00002892168,0.0005865724,0.00002025109,0.00007018229,0.0000900819,0.00005751611,6.977418e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000007657447,"about_ca_system_score_gemma":0.00000670106,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004689206,"about_ca_topic_score_gemma":0.000879728,"domain_scores_codex":[0.9995641,0.00001002375,0.0001410485,0.0001150555,0.00009972544,0.00007005382],"domain_scores_gemma":[0.9993161,0.00004542397,0.00003443607,0.000575806,0.00001782786,0.00001038546],"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":[0.000002195899,0.000009200918,0.2062882,0.00002893861,0.0002736266,2.446536e-7,0.0002202431,0.7917989,0.001111397,0.00003206068,0.000009116953,0.0002258858],"study_design_scores_gemma":[0.00009682501,0.000006166113,0.1865485,0.00001755014,0.0002335521,1.252366e-7,0.00006279321,0.8127148,0.00005586238,0.000005758667,0.0002133794,0.00004477336],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969419,0.00004723889,0.00226592,0.00002111205,0.00001137317,0.00006658539,0.0005600104,0.00000679284,0.00007908318],"genre_scores_gemma":[0.9991538,0.00001064663,0.0006230734,0.000004660835,0.000002451204,4.910559e-7,0.000167139,0.00000656985,0.00003114682],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02091583,"threshold_uncertainty_score":0.158672,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01387039532017002,"score_gpt":0.2273112450058278,"score_spread":0.2134408496856578,"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."}}