{"id":"W2155497567","doi":"10.1115/1.2164508","title":"Flank Wear Progression During Machining Metal Matrix Composites","year":2005,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":56,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal; University of New Brunswick","funders":"","keywords":"Flank; Machinability; Abrasion (mechanical); Machining; Abrasive; Materials science; Tool wear; Composite material; Composite number; Matrix (chemical analysis); Bar (unit); Metallurgy; Geology","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":[0.0003809393,0.0002998933,0.0003103761,0.0004670902,0.0002154507,0.0002317361,0.0002841878,0.0003816034,0.0003737698],"category_scores_gemma":[0.0009556664,0.0002085686,0.0002683388,0.0001835996,0.0002273662,0.0002226767,0.0001303587,0.0002963309,0.0001041649],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002477768,"about_ca_system_score_gemma":0.0001162686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001387771,"about_ca_topic_score_gemma":0.002452202,"domain_scores_codex":[0.9997602,0.00003269157,0.00001192304,0.00003713041,0.0001294537,0.00002862075],"domain_scores_gemma":[0.9991456,0.000433339,0.0001429749,0.0000756517,0.0001739845,0.00002843602],"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":[0.001190932,0.000109575,0.02626131,0.0002861541,0.00003133822,0.0008925161,0.0008595916,0.0313506,0.8887319,0.0001081518,0.0001909665,0.0499869],"study_design_scores_gemma":[0.00002403574,0.002290879,0.1131842,0.0000326453,0.00004585593,0.0011783,0.0003270673,0.1860881,0.695687,0.000221347,0.0008489693,0.00007153922],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965306,0.0001941551,0.002868591,0.000005433567,0.000005864445,0.000008413194,0.00002869126,0.00008013366,0.0002782005],"genre_scores_gemma":[0.9989339,0.00004412256,0.0008282063,0.000002144634,0.000001125686,0.000002605033,0.0000270445,0.000004571831,0.0001563706],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001387771,"threshold_uncertainty_score":0.002759397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.003684065292413545,"score_gpt":0.2317604207554617,"score_spread":0.2280763554630482,"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."}}