{"id":"W2886726677","doi":"10.1115/1.4041072","title":"Effect of Cutting Speed on Chipping and Wear of the SiAlON Ceramic Tool in Dry Finish Turning of the Precipitation Hardenable IN100 Aerospace Superalloy","year":2018,"lang":"en","type":"article","venue":"Journal of Tribology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"McMaster University","keywords":"Sialon; Superalloy; Materials science; Tool wear; Enhanced Data Rates for GSM Evolution; Ceramic; Machining; Scanning electron microscope; Aerospace; Metallurgy; Inconel; Breakage; Cutting tool; Composite material; Alloy; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004829691,0.00007677907,0.0002527655,0.00007876918,0.00003523389,0.000005540443,0.000119588,0.00006676487,0.00000468742],"category_scores_gemma":[0.00078342,0.00004855844,0.00005355445,0.0001668122,0.00006323664,0.0001022636,0.00003042604,0.0002277034,1.018019e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002700999,"about_ca_system_score_gemma":0.00002473244,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001013728,"about_ca_topic_score_gemma":0.00001088195,"domain_scores_codex":[0.9992541,0.0001088697,0.0003692977,0.00005789231,0.0001080995,0.000101709],"domain_scores_gemma":[0.9991094,0.0003785584,0.0003350785,0.00008588018,0.000081387,0.000009644867],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0003078033,0.00002360376,0.04970765,0.0003696263,0.00004726395,7.830799e-7,0.002308382,0.7727234,0.1705038,0.0001019372,0.00001933008,0.003886361],"study_design_scores_gemma":[0.003693395,0.002296809,0.1101328,0.001777722,0.000109344,0.00003771711,0.0002701118,0.1157281,0.7650856,0.0005817051,0.00009851696,0.0001882724],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.99786,0.0001768667,0.001333852,0.00009031712,0.0003430344,0.0001041166,0.000001331733,0.000004312647,0.00008620456],"genre_scores_gemma":[0.9986368,0.00006937974,0.001188784,0.00001251111,0.00006716706,4.9436e-7,3.568551e-7,0.00001102274,0.00001352753],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6569954,"threshold_uncertainty_score":0.1980155,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003791198201522029,"score_gpt":0.2295144859115449,"score_spread":0.2257232877100228,"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."}}