{"id":"W4388661171","doi":"10.3390/ma16227157","title":"Experimental Investigation on Machinability of α/β Titanium Alloys with Different Microstructures","year":2023,"lang":"en","type":"article","venue":"Materials","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; National Research Council Canada","funders":"Natural Sciences and Engineering Research Council of Canada; Academy of Scientific Research and Technology","keywords":"Machinability; Materials science; Microstructure; Martensite; Metallurgy; Martensitic stainless steel; Machining; Surface roughness; Surface finish; Tool wear; Titanium alloy; Layer (electronics); Titanium; Phase (matter); Deformation (meteorology); Composite material","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002705429,0.0002341747,0.0001887488,0.0002615332,0.0002640966,0.0001910804,0.0003068609,0.0002357219,0.0008628231],"category_scores_gemma":[0.0003652676,0.000197095,0.0001653838,0.0002536072,0.0002086233,0.0001538379,0.0001393425,0.0002263858,0.0001598557],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002487563,"about_ca_system_score_gemma":0.0001277686,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008683938,"about_ca_topic_score_gemma":0.001961527,"domain_scores_codex":[0.9997171,0.0000189753,0.00002488506,0.00005618739,0.0001438889,0.00003896718],"domain_scores_gemma":[0.9996762,0.00003293018,0.00009842789,0.00004043847,0.0001336513,0.00001823136],"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":[0.00005511424,0.000013523,0.0005518991,0.0000665858,0.000004016162,0.00003649195,0.00005656045,0.00016462,0.9979303,0.00004362711,0.00001961124,0.001057673],"study_design_scores_gemma":[0.000008947566,0.0006843811,0.01119553,0.000006783619,0.00002276137,0.0001359764,0.00008835472,0.0008661043,0.9852003,0.00003104981,0.001751305,0.000008504533],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9953595,0.000633429,0.002490847,0.00001683287,0.0000159999,0.00004447762,0.000153069,0.00003101144,0.00125486],"genre_scores_gemma":[0.9929476,0.0003450323,0.005066947,0.00001739802,0.000006088947,0.00003756775,0.0001706267,0.00001951976,0.001389332],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0008683938,"threshold_uncertainty_score":0.002886474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01127728698159387,"score_gpt":0.228044799310248,"score_spread":0.2167675123286542,"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."}}