{"id":"W4234886136","doi":"10.3390/jmmp5020050","title":"The Effect of MQL on Tool Wear Progression in Low-Frequency Vibration-Assisted Drilling of CFRP/Ti6Al4V Stack Material","year":2021,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University; National Research Council Canada","funders":"","keywords":"Delamination (geology); Materials science; Drilling; Tool wear; Vibration; Stack (abstract data type); Machining; Composite material; Titanium alloy; Lubricant; Metallurgy; Acoustics; Computer science; Geology; Alloy","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":[0.0003814295,0.0002586068,0.0002509689,0.0003036602,0.0001902915,0.0002700244,0.0002840198,0.0002800441,0.0004185101],"category_scores_gemma":[0.001197706,0.0001960946,0.0002172468,0.0001175928,0.000320437,0.000375787,0.0002822409,0.0002045968,0.00007763007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001568505,"about_ca_system_score_gemma":0.0001041704,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003665941,"about_ca_topic_score_gemma":0.0008238484,"domain_scores_codex":[0.9996588,0.00005249886,0.00003032629,0.00005417672,0.0001441847,0.00006005991],"domain_scores_gemma":[0.9991164,0.0003421635,0.0002392905,0.00007434877,0.0001926559,0.00003518249],"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":[0.0003290609,0.00002000939,0.002216848,0.0001977546,0.00001356756,0.00009004351,0.000143518,0.0007224788,0.9859834,0.0000329491,0.00002461937,0.0102257],"study_design_scores_gemma":[0.0000142789,0.001205037,0.01340353,0.00001560097,0.00002972774,0.0002173417,0.0001322287,0.0055884,0.9786454,0.00003280618,0.0006945683,0.00002108133],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9969671,0.0006972721,0.00214778,0.00001486899,0.000009374596,0.000006538427,0.00001541097,0.00002739257,0.0001141932],"genre_scores_gemma":[0.9986015,0.00009699917,0.001178963,0.000005975282,0.000002123467,0.000002874476,0.000008866657,0.000005049016,0.00009761424],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0004185101,"threshold_uncertainty_score":0.0020172,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004409139696562057,"score_gpt":0.2376212380529132,"score_spread":0.2332120983563511,"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."}}