{"id":"W2081939767","doi":"10.1115/imece2002-39114","title":"Mechanics and Dynamics of Serrated End Mills","year":2002,"lang":"en","type":"article","venue":"Manufacturing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Flute; Tangent; Kinematics; Geometry; Mechanics; Point (geometry); Enhanced Data Rates for GSM Evolution; Oblique case; Engineering; Materials science; Classical mechanics; Structural engineering; Mechanical engineering; Physics; Mathematics; Acoustics","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":[0.0001858292,0.0002514504,0.0002341497,0.0003286209,0.0002827031,0.00088445,0.0005141108,0.0004886658,0.002826699],"category_scores_gemma":[0.0003331679,0.0002258371,0.0002286902,0.0001372829,0.0007496704,0.000728673,0.0006831686,0.0003964257,0.0003746015],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002792343,"about_ca_system_score_gemma":0.0003053664,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005907434,"about_ca_topic_score_gemma":0.0003319457,"domain_scores_codex":[0.9998364,0.00002351133,0.000006313298,0.00003431815,0.00008380029,0.00001555482],"domain_scores_gemma":[0.9999007,0.00002073657,0.00002861868,0.00001178752,0.00002266832,0.00001554107],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001484287,0.00006451098,0.002134274,0.0001136873,0.00001955185,0.0006719358,0.000503519,0.6671754,0.06078857,0.232252,0.001463315,0.03466478],"study_design_scores_gemma":[0.0000208498,0.0001201762,0.001881997,0.00001359591,0.00000409916,0.0002678783,0.0000994053,0.951876,0.003756475,0.03703614,0.004890924,0.00003245892],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.427972,0.001008693,0.5323434,0.0004164701,0.0001200976,0.00007637591,0.000198494,0.0003032033,0.03756119],"genre_scores_gemma":[0.9579396,0.0005567369,0.01960123,0.00004630759,0.00003234055,0.00005735335,0.00007906668,0.00003594287,0.02165142],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002826699,"threshold_uncertainty_score":0.009456217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006916680781081905,"score_gpt":0.1811936359744565,"score_spread":0.1742769551933746,"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."}}