{"id":"W1964244119","doi":"10.1080/10940340008945697","title":"IMPROVEMENT OF TOOL LIFE THROUGH THE USE OF TWO DISCRETE FEED RATES DURING MACHINING OF 4140 STEEL","year":2000,"lang":"en","type":"article","venue":"Machining Science and Technology","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Polytechnique Montréal","keywords":"Machining; Variable (mathematics); Discrete variable; Mechanical engineering; Tool wear; Engineering; Metallurgy; Manufacturing engineering; Computer science; Engineering drawing; Mathematics; Materials science; Mathematical optimization; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"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":[0.0003380695,0.0003585352,0.0004119199,0.0003480759,0.0001416086,0.0003676277,0.0004066012,0.0002940912,0.0005743859],"category_scores_gemma":[0.001084814,0.0002461981,0.0001885425,0.0001968039,0.000224223,0.0002467687,0.0002187416,0.0003001839,0.00008821581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001573198,"about_ca_system_score_gemma":0.0001351904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003811666,"about_ca_topic_score_gemma":0.0006967673,"domain_scores_codex":[0.999644,0.00005126886,0.00002905248,0.00006913549,0.0001528608,0.00005362013],"domain_scores_gemma":[0.9991813,0.0003607625,0.0002250884,0.00008916733,0.00008374243,0.00005984071],"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":[0.0009173168,0.0000992878,0.001311789,0.0001458839,0.00001521104,0.00005949487,0.00009114968,0.001321896,0.9778972,0.00004798461,0.00002822261,0.01806455],"study_design_scores_gemma":[0.0001012864,0.002684948,0.01108378,0.00001089317,0.00004274066,0.000200411,0.00003935652,0.00437301,0.9800059,0.00002608099,0.001399728,0.00003190509],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9950015,0.0005397667,0.004118791,0.00001349375,0.000007696633,0.00001210033,0.00002366705,0.00004777088,0.0002351912],"genre_scores_gemma":[0.9958124,0.0001277683,0.003801829,0.000005963356,0.000004005518,0.000007149874,0.00002672581,0.00001320492,0.0002009619],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0005743859,"threshold_uncertainty_score":0.001921475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01140396690552563,"score_gpt":0.2506227720125757,"score_spread":0.23921880510705,"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."}}