{"id":"W1970026880","doi":"10.1177/0954405415577591","title":"Optimal replacement times for machining tool during turning titanium metal matrix composites under variable machining conditions","year":2015,"lang":"en","type":"article","venue":"Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University; Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Fonds Québécois de la Recherche sur la Nature et les Technologies","keywords":"Machining; Aerospace; Variable (mathematics); Mechanical engineering; Cutting tool; Matrix (chemical analysis); Work (physics); Computer science; Materials science; Engineering; Composite material; Mathematics","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":[0.0005759675,0.0002957695,0.000506178,0.0002270273,0.0001008787,0.00004185919,0.0003628953,0.0001583181,0.00001581473],"category_scores_gemma":[0.0004439206,0.0002449592,0.00021206,0.0002662226,0.0000360936,0.0005802372,0.00007512678,0.000512474,4.83332e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001675977,"about_ca_system_score_gemma":0.00006208252,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001118186,"about_ca_topic_score_gemma":9.415301e-8,"domain_scores_codex":[0.9982666,0.000005764507,0.000840458,0.0001647702,0.0004225082,0.0002999398],"domain_scores_gemma":[0.998791,0.00009980217,0.0004491278,0.0001095738,0.0004161992,0.0001342472],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001070202,0.00002710975,0.00001104253,0.0004553373,0.0002087526,5.682425e-7,0.0001493063,0.9114621,0.07375038,0.01363915,0.0001718377,0.00001740103],"study_design_scores_gemma":[0.001757233,0.0002651442,0.00003676455,0.0008478099,0.0003064088,0.0001442964,0.0003426534,0.6133557,0.3807229,0.0005909685,0.001263061,0.0003670292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3072129,0.0005668818,0.6899164,0.00009738075,0.001458396,0.0003428292,0.00004495785,0.0001563241,0.0002039123],"genre_scores_gemma":[0.8750437,0.00003443873,0.1246197,0.000009477196,0.0001818271,0.0000115551,0.000009557173,0.0000483766,0.0000412976],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5678308,"threshold_uncertainty_score":0.9989148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008872469087103858,"score_gpt":0.2297951548114011,"score_spread":0.2209226857242972,"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."}}