{"id":"W2800288016","doi":"10.3390/jmmp2020027","title":"New Observations on High-Speed Machining of Hardened AISI 4340 Steel Using Alumina-Based Ceramic Tools","year":2018,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Ceramic; Materials science; Machining; Scanning electron microscope; Metallurgy; Hardened steel; High-speed steel; Tool wear; X-ray photoelectron spectroscopy; Composite material; Chemical engineering; Engineering","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":[0.0001585618,0.0003076862,0.0002001625,0.0004998456,0.000230636,0.0002322309,0.0003020865,0.0005652089,0.001164537],"category_scores_gemma":[0.0002377758,0.0002238868,0.0002731888,0.0003258351,0.0003688752,0.0003179404,0.0001529694,0.0004489992,0.0001783159],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001110219,"about_ca_system_score_gemma":0.00007428442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005145783,"about_ca_topic_score_gemma":0.0008797709,"domain_scores_codex":[0.9998173,0.000009854204,0.000009069188,0.00003038984,0.0001049757,0.00002843441],"domain_scores_gemma":[0.9997913,0.00004535428,0.00005445628,0.0000247967,0.00006690959,0.00001723185],"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":[0.00007200181,0.000009477796,0.0003465388,0.00006033708,0.000003930928,0.0001349738,0.00006895937,0.00006485248,0.9977577,0.00002853149,0.00002917402,0.001423559],"study_design_scores_gemma":[0.00001038381,0.0004352734,0.02536357,0.000006706259,0.00001900292,0.000702822,0.0002221164,0.0008891411,0.9705806,0.00005710674,0.001698342,0.00001500972],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9949411,0.0007978489,0.003028186,0.00002521643,0.00001596609,0.00001226504,0.00007839101,0.00006467428,0.001036367],"genre_scores_gemma":[0.9965166,0.0002645245,0.00223497,0.00001846428,0.000006325717,0.000005155224,0.00008002378,0.0000086474,0.0008654075],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001164537,"threshold_uncertainty_score":0.0038957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095900700924285,"score_gpt":0.259600785986453,"score_spread":0.2286417789772102,"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."}}