{"id":"W2078865258","doi":"10.1115/detc2008-49598","title":"A Solid Modeler Approach for Extracting Cutter Workpiece Engagements in Milling","year":2008,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Milling cutter; Geometric modeling; Machining; Solid modeling; Envelope (radar); Engineering drawing; Tilt (camera); Process (computing); Geometric design; Parametric statistics; Boundary (topology); Geometric shape; Cutter location; Range (aeronautics); Machine tool; Geometry; Mechanical engineering; Computer science; Tool path; Engineering; Mathematics; Mathematical analysis","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":[0.0004997794,0.0007337113,0.0007888084,0.0008084117,0.0003722307,0.001277564,0.00129775,0.0009956965,0.003126254],"category_scores_gemma":[0.001176218,0.0006464463,0.001046007,0.0006754774,0.000598743,0.001210427,0.0009401462,0.0009536853,0.0008606046],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005171241,"about_ca_system_score_gemma":0.0007968324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009657725,"about_ca_topic_score_gemma":0.00150708,"domain_scores_codex":[0.9994336,0.0000619768,0.00002648285,0.00006392312,0.0003839592,0.00003001252],"domain_scores_gemma":[0.9995018,0.0002003421,0.00004905755,0.0001408678,0.00009095741,0.00001694068],"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":[0.00008325227,0.00005698977,0.0007592291,0.0002435392,0.00004380974,0.0001795708,0.0003185377,0.7303132,0.06731055,0.03646807,0.00102973,0.1631934],"study_design_scores_gemma":[0.000009376246,0.00003985522,0.0002020472,0.00001070317,0.000007365601,0.0001217043,0.00002818576,0.9710981,0.01705445,0.003929578,0.007481119,0.00001766858],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004673002,0.00003498508,0.993843,0.00001896323,0.000006742506,0.00002864277,0.00003754071,0.0004968595,0.0008602518],"genre_scores_gemma":[0.1679803,0.0002360365,0.8283854,0.00002676748,0.00001026255,0.0001767387,0.0004284752,0.0003457654,0.002410281],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.003126254,"threshold_uncertainty_score":0.01045841,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03882143890859167,"score_gpt":0.2535116876565799,"score_spread":0.2146902487479882,"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."}}