{"id":"W2983740811","doi":"10.1016/j.ifacol.2019.10.047","title":"One-Side Cutting Strategy for Ultraprecise Single Point Cutting of V-grooves Case 1: Constant Chip Thickness","year":2019,"lang":"en","type":"article","venue":"IFAC-PapersOnLine","topic":"Advanced Surface Polishing Techniques","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada; Western University","funders":"Natural Sciences and Engineering Research Council of Canada; National Research Council Canada; Western University; National Council of University Research Administrators","keywords":"Constant (computer programming); Chip; Point (geometry); Chip formation; Single point; Materials science; Mechanical engineering; Geometry; Mathematics; Mechanics; Engineering; Computer science; Physics; Machining; Electrical engineering; Tool wear","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":[0.0002217189,0.0004069477,0.000343758,0.0002932677,0.0001795114,0.0004505021,0.0005762096,0.0006564873,0.001047032],"category_scores_gemma":[0.0003715699,0.0002357756,0.0003380427,0.0001828449,0.0002918613,0.0002991174,0.0003405538,0.0004177837,0.0004622534],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002372642,"about_ca_system_score_gemma":0.0003954907,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006719253,"about_ca_topic_score_gemma":0.001605205,"domain_scores_codex":[0.9996562,0.00001515519,0.00001794648,0.00008597158,0.0001630653,0.00006171178],"domain_scores_gemma":[0.9996856,0.00006640454,0.00007473415,0.00006733278,0.00008499153,0.00002089619],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00010099,0.00004867072,0.000790427,0.0002618406,0.00001657616,0.0003301687,0.0001326698,0.008429403,0.9621552,0.001512817,0.0002696429,0.02595163],"study_design_scores_gemma":[0.00001686708,0.0008881829,0.003190148,0.00002633502,0.00002183577,0.0008853473,0.0001123265,0.05922305,0.9307604,0.0006339094,0.00420693,0.00003466024],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7872185,0.001093684,0.2024247,0.0001106058,0.00006204338,0.0002241454,0.0002632631,0.0004952926,0.00810778],"genre_scores_gemma":[0.8955521,0.0003025184,0.1009714,0.0000300779,0.000005054802,0.00006300028,0.0001230502,0.00004693813,0.002906008],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.001047032,"threshold_uncertainty_score":0.003502727,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03158769809495227,"score_gpt":0.2709036550796622,"score_spread":0.23931595698471,"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."}}