{"id":"W2884449204","doi":"10.1007/s00170-018-2410-2","title":"Low-frequency vibration-assisted drilling of hybrid CFRP/Ti6Al4V stacked material","year":2018,"lang":"en","type":"article","venue":"The International Journal of Advanced Manufacturing Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; McMaster University","funders":"McMaster University","keywords":"Machinability; Drilling; Delamination (geology); Machining; Materials science; Tool wear; Vibration; Titanium alloy; Aerospace; Carbon fiber reinforced polymer; Fibre-reinforced plastic; Surface roughness; Chip formation; Mechanical engineering; Composite material; Alloy; Metallurgy; Acoustics; Engineering; Aerospace engineering","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001390491,0.0001527265,0.0002227595,0.0003337743,0.00006729181,0.00003081494,0.000757337,0.00006200629,0.00007329377],"category_scores_gemma":[0.0001074383,0.0001201564,0.0000631896,0.0001088735,0.0001584366,0.0003520058,0.00008491564,0.0002427866,0.00000411569],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001022064,"about_ca_system_score_gemma":0.00003471352,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001704043,"about_ca_topic_score_gemma":0.00000498196,"domain_scores_codex":[0.9988489,0.00001090201,0.0005739556,0.0001128711,0.0002783924,0.000174959],"domain_scores_gemma":[0.9988933,0.00005666701,0.0004257372,0.0001952875,0.0003996755,0.00002939619],"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":[0.000309556,0.00006145368,0.00004708861,0.00006134574,0.0003146435,0.00004490683,0.0002167737,0.4428213,0.4868025,0.002447846,0.0001074476,0.06676511],"study_design_scores_gemma":[0.0004857221,0.0001354181,0.0001075478,0.000127233,0.00001770798,0.000210377,0.00009339844,0.00264088,0.9780203,0.01730275,0.0007399683,0.0001187265],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8203551,0.00009989523,0.1767014,0.0005160287,0.001877692,0.00007383169,0.00001324005,0.0001397457,0.0002230822],"genre_scores_gemma":[0.9565237,0.0002752795,0.04278233,0.00004247329,0.0003201442,0.000003561249,0.000007746042,0.00003012881,0.00001466863],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4912177,"threshold_uncertainty_score":0.4899835,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005288498869865071,"score_gpt":0.2311107246327934,"score_spread":0.2258222257629283,"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."}}