{"id":"W2062750487","doi":"10.1016/j.cirp.2009.03.100","title":"Characterization of the dry high speed drilling process of woven composites using Machinability Maps approach","year":2009,"lang":"en","type":"article","venue":"CIRP Annals","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":124,"is_retracted":false,"has_abstract":false,"ca_institutions":"National Research Council Canada; McGill University","funders":"National Research Council Canada","keywords":"Machinability; Delamination (geology); Drilling; Materials science; Tool wear; Thrust; Composite material; Surface roughness; Fiber; Surface finish; Machining; Characterization (materials science); Thermal; Mechanical engineering; Geology; Metallurgy; 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":[0.0001124346,0.0001056744,0.0001934212,0.00004359398,0.00005642799,0.00001294329,0.0001424832,0.00005393646,0.00000382814],"category_scores_gemma":[0.00003239964,0.00008794677,0.00004619534,0.0002647104,0.00003278587,0.0001819709,0.00001335784,0.00008843602,1.595022e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001322069,"about_ca_system_score_gemma":0.00001394849,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003853343,"about_ca_topic_score_gemma":1.600256e-7,"domain_scores_codex":[0.9993398,0.00001911449,0.0002694466,0.0001202226,0.000127485,0.0001239184],"domain_scores_gemma":[0.9995214,0.0000136551,0.000148575,0.000163299,0.0001300895,0.00002303002],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001204453,0.00004415506,0.00167974,0.0003031261,0.00001078427,7.255069e-8,0.0004960924,0.8536883,0.1418174,0.0002411645,7.80151e-7,0.00170631],"study_design_scores_gemma":[0.000196987,0.00003103683,0.03002966,0.0001527661,0.00002717525,0.000001492226,0.00005488309,0.6343107,0.3324662,0.002541389,0.00001600941,0.0001716808],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8501496,0.0001005537,0.1491059,0.00003467709,0.00006718777,0.000164403,0.00001850684,0.00005436762,0.0003047859],"genre_scores_gemma":[0.995792,0.00002808348,0.004038793,0.00003083272,0.00003748506,0.000001155664,0.0000480938,0.00001463992,0.000008961882],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2193776,"threshold_uncertainty_score":0.3586365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01757491507591605,"score_gpt":0.2586302418408275,"score_spread":0.2410553267649115,"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."}}