{"id":"W2014388710","doi":"10.1016/j.cirp.2007.05.052","title":"Rotating Curvilinear Tools for EDM of Polygonal Shapes with Sharp Corners","year":2007,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced Machining and Optimization Techniques","field":"Engineering","cited_by":20,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Curvilinear coordinates; Flushing; Electrical discharge machining; Kinematics; Mechanical engineering; Machining; Machine tool; Engineering drawing; Computer science; Geometry; Engineering; Mathematics; Physics; Classical mechanics","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":[0.0003429512,0.0005936389,0.000451004,0.0004285421,0.0002547906,0.000679875,0.0007999643,0.0004873168,0.00563874],"category_scores_gemma":[0.001360035,0.0003128418,0.0005412499,0.0005658088,0.0003867724,0.0005608628,0.0008726344,0.0007027698,0.000832234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002482199,"about_ca_system_score_gemma":0.0003651726,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003965924,"about_ca_topic_score_gemma":0.0008005324,"domain_scores_codex":[0.9997649,0.00004838859,0.00001927441,0.00004294377,0.0001007567,0.00002381446],"domain_scores_gemma":[0.9995415,0.0001559673,0.00005599705,0.0001744705,0.00005421047,0.00001786676],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003196953,0.00009427508,0.001790635,0.0004038172,0.00005174655,0.0005052584,0.0002822757,0.2893195,0.1247233,0.05030485,0.004027384,0.5281771],"study_design_scores_gemma":[0.00003575396,0.0002251792,0.0008704455,0.00005392814,0.0000218116,0.0004410517,0.00009723262,0.9255794,0.04763331,0.008011402,0.01699375,0.00003666758],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02011339,0.0002658582,0.9753442,0.00005956873,0.00004525781,0.00003359761,0.0000577344,0.0004398608,0.003640471],"genre_scores_gemma":[0.2620026,0.0003129086,0.733685,0.00003103153,0.00001105807,0.00004343209,0.0001487137,0.0001532763,0.003611925],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00563874,"threshold_uncertainty_score":0.0188635,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03595420776737807,"score_gpt":0.301300554736988,"score_spread":0.2653463469696099,"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."}}