{"id":"W2045634514","doi":"10.1115/1.4028749","title":"Mechanics and Dynamics of Multifunctional Tools","year":2014,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Chamfer (geometry); Drilling; Oblique case; Vibration; Enhanced Data Rates for GSM Evolution; Stability (learning theory); Structural engineering; Dynamics (music); Mechanics; Mechanical engineering; Engineering; Computer science; Geometry; Physics; Acoustics; Mathematics","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":[0.0001761393,0.0003655008,0.0002749043,0.0004214086,0.0002699521,0.0006851217,0.0004890642,0.0005922506,0.001732924],"category_scores_gemma":[0.0004258243,0.000199121,0.0003021867,0.0002224577,0.0008740046,0.0006184964,0.0006906037,0.0003008632,0.0002502736],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003343219,"about_ca_system_score_gemma":0.0003889118,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008300613,"about_ca_topic_score_gemma":0.0003588644,"domain_scores_codex":[0.9997813,0.00002218584,0.000007492175,0.00004573998,0.0001135327,0.00002973537],"domain_scores_gemma":[0.9998755,0.00003056044,0.00003370342,0.00001766909,0.00002538668,0.00001711267],"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":[0.000114271,0.00005247234,0.001934799,0.0001255411,0.00002507103,0.000795172,0.000323963,0.6959856,0.1165215,0.1421769,0.0009098444,0.04103492],"study_design_scores_gemma":[0.00001301796,0.0001222994,0.001739385,0.00001194692,0.000006151708,0.0003688412,0.00007329364,0.9733557,0.004441969,0.01599289,0.003848064,0.00002647537],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3123312,0.001055456,0.6535645,0.0002634415,0.00009529333,0.00007462587,0.000164678,0.0002996898,0.03215102],"genre_scores_gemma":[0.9807567,0.0002931479,0.01321675,0.00002492059,0.00001701937,0.00005461554,0.00004358697,0.00001853959,0.005574803],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001732924,"threshold_uncertainty_score":0.005797207,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005679921692689143,"score_gpt":0.1937835901644877,"score_spread":0.1881036684717986,"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."}}