{"id":"W2076933100","doi":"10.1179/174951411x12956208225302","title":"Advanced nanomechanical testing for high speed machining of hard-to-cut aerospace alloys","year":2011,"lang":"en","type":"article","venue":"International Heat Treatment and Surface Engineering","topic":"Metal and Thin Film Mechanics","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Machining; Materials science; Nanoindentation; Aerospace; Nanomanufacturing; Indentation; Coating; Mechanical engineering; Nanotechnology; Composite material; Metallurgy; Aerospace 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009231617,0.0002008274,0.0002383806,0.00007193524,0.0000296112,0.00001501173,0.0001067989,0.00005423169,0.00002778289],"category_scores_gemma":[0.00004806229,0.0001884527,0.00005826055,0.00008530902,0.000005384462,0.0001042256,0.0000308368,0.0000585624,0.000005039401],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008390206,"about_ca_system_score_gemma":0.000006687572,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004943192,"about_ca_topic_score_gemma":0.000005652822,"domain_scores_codex":[0.9992573,0.000004224156,0.000233722,0.0001900007,0.0001074947,0.0002072337],"domain_scores_gemma":[0.9996412,0.00008058846,0.00001705854,0.0001075119,0.00005383147,0.00009977874],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001217416,0.000114941,0.001508874,0.0001152043,0.0005102219,0.0000099545,0.0009909837,0.1643522,0.8131338,0.01197622,0.00006344753,0.007102454],"study_design_scores_gemma":[0.001354137,0.0005593051,0.0009230272,0.0001557418,0.00005232065,0.00001535068,0.00005663412,0.578096,0.4169513,0.0003382857,0.001117165,0.0003807269],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9719086,0.00017012,0.02538114,0.00002645695,0.001402235,0.0002627691,0.00005039159,0.0001903655,0.0006079739],"genre_scores_gemma":[0.892375,0.00003071075,0.1070857,0.00000640239,0.00004356459,0.00001768075,0.00001525975,0.00003691456,0.0003887172],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4137438,"threshold_uncertainty_score":0.7684879,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03497376222148015,"score_gpt":0.224460377415549,"score_spread":0.1894866151940689,"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."}}