{"id":"W2766281943","doi":"10.3390/ma10111230","title":"Effect of Built-Up Edge Formation during Stable State of Wear in AISI 304 Stainless Steel on Machining Performance and Surface Integrity of the Machined Part","year":2017,"lang":"en","type":"article","venue":"Materials","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":66,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Materials science; Surface integrity; Machining; Enhanced Data Rates for GSM Evolution; Surface roughness; Metallurgy; Scanning electron microscope; Tool wear; Surface finish; Cutting tool; Chip formation; Residual stress; Composite material; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002908691,0.0003073622,0.0003784091,0.0002824698,0.0002729875,0.0002867198,0.0002440087,0.0004256196,0.0007561186],"category_scores_gemma":[0.0007878045,0.0002197509,0.0003696647,0.0002483622,0.0002419028,0.0002579053,0.0001994964,0.0003327591,0.0001188123],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001975202,"about_ca_system_score_gemma":0.0001475161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003063,"about_ca_topic_score_gemma":0.002043777,"domain_scores_codex":[0.9995369,0.00005700883,0.0000519053,0.00006619765,0.000190363,0.00009757736],"domain_scores_gemma":[0.9991793,0.000278082,0.000146409,0.00007488731,0.0002414369,0.00007985561],"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":[0.0006491268,0.00005550403,0.003017046,0.0001077476,0.00001864166,0.00019783,0.0002197951,0.0004399214,0.9917509,0.00001528348,0.00003090821,0.003497165],"study_design_scores_gemma":[0.00001483249,0.002724532,0.04346095,0.000008778595,0.00003446129,0.0001503179,0.0002516715,0.001903036,0.9510469,0.00001834001,0.0003643958,0.00002169323],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9995469,0.0001700891,0.0001534328,0.000005486618,0.000004515123,0.000003560296,0.00002406074,0.000007554612,0.00008429607],"genre_scores_gemma":[0.9994907,0.00007048072,0.0002139414,0.000005610188,0.000001640119,0.000002923371,0.00003728282,0.000004218238,0.00017311],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001003063,"threshold_uncertainty_score":0.002529442,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008747601790091014,"score_gpt":0.2442148652203098,"score_spread":0.2354672634302188,"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."}}