{"id":"W4393357041","doi":"10.3390/jmmp8020068","title":"Enhancing Tool Performance in High-Speed End Milling of Ti-6Al-4V Alloy: The Role of AlCrN PVD Coatings and Resistance to Chipping Wear","year":2024,"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","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"End milling; Materials science; Wear resistance; Metallurgy; Alloy; Titanium alloy; High resistance; Machining","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":[0.0005811926,0.0001393936,0.0003094307,0.0001587789,0.00007388107,0.0001143229,0.00009198538,0.00004947572,0.000003600537],"category_scores_gemma":[0.00004641158,0.0001059772,0.00001962707,0.00009731405,0.00003013575,0.0004003667,0.00003836681,0.0001484015,1.594226e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002597996,"about_ca_system_score_gemma":0.00002777073,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000007551588,"about_ca_topic_score_gemma":0.000005307578,"domain_scores_codex":[0.9989474,0.00001703061,0.0005912113,0.0001203107,0.0001560063,0.0001680593],"domain_scores_gemma":[0.9995712,0.00007275509,0.0002143063,0.00006126471,0.00004639224,0.00003405579],"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":[0.0001029775,0.000007869648,0.00005362637,0.004250619,0.00002461702,0.000004866526,0.004326573,0.07000606,0.8874641,0.00005890526,0.000001630655,0.03369818],"study_design_scores_gemma":[0.0001855665,0.00004409206,0.0007485901,0.003597425,0.00002560842,0.00002318899,0.0004099621,0.003252672,0.9910696,0.0002955091,0.0002266978,0.0001210458],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9893811,0.004196055,0.006050368,0.00004906516,0.0001625891,0.00007610233,0.000003264456,0.00002701974,0.0000544477],"genre_scores_gemma":[0.9864005,0.001024093,0.01242059,0.00001122154,0.00009786636,0.000001624134,7.409057e-7,0.00002890597,0.00001441144],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1036056,"threshold_uncertainty_score":0.4321627,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00432379013613367,"score_gpt":0.2064675573211945,"score_spread":0.2021437671850608,"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."}}