{"id":"W2341114807","doi":"10.3390/lubricants4020010","title":"Influence of Workpiece Material on Tool Wear Performance and Tribofilm Formation in Machining Hardened Steel","year":2016,"lang":"en","type":"article","venue":"Lubricants","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Machining; Metallurgy; Scanning electron microscope; Ceramic; Tool wear; Hardened steel; Carbide; Tribology; X-ray photoelectron spectroscopy; Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003465287,0.0002924449,0.0003923057,0.0004831359,0.0002510487,0.0004755124,0.0002817193,0.0004221984,0.0005961659],"category_scores_gemma":[0.001035197,0.0002279592,0.0002797217,0.0002662475,0.0002326458,0.0002427378,0.000185824,0.0002557337,0.0001581315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002059452,"about_ca_system_score_gemma":0.0001161561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007923397,"about_ca_topic_score_gemma":0.0013337,"domain_scores_codex":[0.9995114,0.00006971526,0.00004279774,0.00006688422,0.0002116877,0.0000974854],"domain_scores_gemma":[0.9993876,0.0002291872,0.0001457788,0.00006060631,0.0001207856,0.00005591778],"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":[0.0002452669,0.00002028882,0.0008529686,0.00006935273,0.00000836807,0.00008336524,0.00008714823,0.0002577273,0.9964515,0.000006852811,0.000008457252,0.001908648],"study_design_scores_gemma":[0.00001448606,0.00131096,0.02505422,0.000007657718,0.00002328746,0.0001873645,0.0001048038,0.001255926,0.9716749,0.00001123707,0.0003421459,0.00001308703],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9992249,0.0003026851,0.0003114555,0.000004216014,0.000002631371,0.000004838563,0.00001649505,0.000009105079,0.0001235887],"genre_scores_gemma":[0.9992193,0.00008166098,0.0004472813,0.000004264963,0.000001639075,0.000002872622,0.00003232819,0.000007494093,0.0002031562],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0007923397,"threshold_uncertainty_score":0.001994371,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.005706718111887447,"score_gpt":0.2026827203124474,"score_spread":0.1969760022005599,"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."}}