{"id":"W2396464542","doi":"10.1016/j.cirp.2016.04.049","title":"A new hybrid oscillatory orbital process for drilling of composites using superabrasive diamond tools","year":2016,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; McGill University","keywords":"Diamond; Drilling; Materials science; Surface roughness; Tool wear; Diamond tool; Kinematics; Surface finish; Composite material; Process (computing); Carbide; Mechanical engineering; Diamond turning; Computer science; Machining; Metallurgy; Engineering; Physics","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":[0.000195948,0.0002594727,0.0002863188,0.000510857,0.0002316981,0.000410489,0.0005422384,0.0003196552,0.0009384405],"category_scores_gemma":[0.0001870545,0.0001902522,0.0002282839,0.0004269799,0.0003443125,0.0005854705,0.0005971373,0.0003640756,0.0001634114],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001688982,"about_ca_system_score_gemma":0.0003169345,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004240197,"about_ca_topic_score_gemma":0.001466109,"domain_scores_codex":[0.9997945,0.00001087549,0.00001020077,0.00003285584,0.0001279862,0.00002348486],"domain_scores_gemma":[0.9998575,0.00003046558,0.00003298387,0.00003259947,0.0000298415,0.00001659417],"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":[0.0002691264,0.00006675005,0.0007900403,0.0001809581,0.00001089349,0.0001219435,0.0000968516,0.003499106,0.9438456,0.002106856,0.0002250536,0.04878676],"study_design_scores_gemma":[0.0001361952,0.001734476,0.006544647,0.00002408011,0.00005777862,0.001003625,0.0001466133,0.1059831,0.8675527,0.001583104,0.01515553,0.00007810121],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.7680026,0.001073657,0.2248335,0.00006219402,0.000106726,0.00006617861,0.0000949138,0.0004522459,0.005307942],"genre_scores_gemma":[0.8645818,0.0002702355,0.1327146,0.00001632969,0.00001507136,0.00003582073,0.00007602161,0.00004004858,0.002249952],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.0009384405,"threshold_uncertainty_score":0.003139436,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04620706745006996,"score_gpt":0.3009709757511466,"score_spread":0.2547639083010766,"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."}}