{"id":"W1989335238","doi":"10.1115/1.1948395","title":"Cutter/Workpiece Engagement Feature Extraction from Solid Models for End Milling","year":2004,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":34,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Geometry; Machining; Mechanical engineering; Process (computing); Cylinder; Robustness (evolution); Computer science; Rotation (mathematics); Engineering drawing; Engineering; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000363558,0.001039471,0.000926805,0.001416362,0.0003155846,0.001609129,0.001024472,0.001260651,0.002083375],"category_scores_gemma":[0.001240551,0.0008336254,0.001503798,0.001066663,0.0003863278,0.0009101615,0.0009426312,0.001077007,0.001530322],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003821452,"about_ca_system_score_gemma":0.0007743841,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001804174,"about_ca_topic_score_gemma":0.003401539,"domain_scores_codex":[0.9995571,0.00004200751,0.00002896712,0.00006088367,0.0002693589,0.00004166439],"domain_scores_gemma":[0.9994209,0.0002585868,0.00009246878,0.0001004872,0.0001014991,0.00002610822],"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":[0.0001867917,0.0001896619,0.003762041,0.0003968404,0.00006237013,0.000565573,0.0002222877,0.551899,0.08797947,0.007225384,0.003826528,0.343684],"study_design_scores_gemma":[0.000006001821,0.00004089599,0.0008232295,0.00001764994,0.000007305034,0.0001481261,0.00003294517,0.9818274,0.01213769,0.001905888,0.003033596,0.00001918344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03107643,0.0002469601,0.9641603,0.00005550716,0.00001269822,0.00008477645,0.0005593431,0.002404439,0.001399534],"genre_scores_gemma":[0.4421345,0.0006340064,0.54923,0.00003610205,0.00001796114,0.000220613,0.00437328,0.000573057,0.002780422],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002083375,"threshold_uncertainty_score":0.006969512,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01364787408099396,"score_gpt":0.2292944081546382,"score_spread":0.2156465340736442,"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."}}