{"id":"W2335211085","doi":"","title":"Stress and Strain Distributions during Machining of Ti-6Al-4V at Ambient and Cryogenic Temperatures","year":2014,"lang":"en","type":"article","venue":"Scholarship at UWindsor (University of Windsor)","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Machining; Materials science; Strain (injury); Metallurgy; Stress (linguistics); Cryogenic temperature; Composite material; Forensic engineering; Engineering; Medicine","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002259317,0.0002336109,0.0003675545,0.0003161959,0.0003111461,0.0003388872,0.0004535291,0.0002690681,0.001165938],"category_scores_gemma":[0.0004398262,0.000249348,0.0001491682,0.0003823021,0.0004547598,0.0002584235,0.0001198485,0.000313982,0.0001388005],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003758518,"about_ca_system_score_gemma":0.0001675382,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001465701,"about_ca_topic_score_gemma":0.002531043,"domain_scores_codex":[0.9998037,0.00001476971,0.000008992072,0.00004986692,0.00007541984,0.00004733054],"domain_scores_gemma":[0.999554,0.0001222793,0.0001079482,0.00005428492,0.0001275564,0.00003397148],"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":[0.0004345685,0.00003429741,0.002291853,0.00005442927,0.00001078883,0.0001244701,0.0002876253,0.001011971,0.9934211,0.0000937333,0.0000644453,0.002170568],"study_design_scores_gemma":[0.00002658425,0.0009920233,0.09620619,0.00001262405,0.00002584558,0.0001649317,0.0003334731,0.01033895,0.890689,0.00009099849,0.00109126,0.00002816653],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990785,0.0000666867,0.0003799007,0.000006317603,0.000002714546,0.000004672301,0.0001152571,0.00001878613,0.0003270005],"genre_scores_gemma":[0.99873,0.0000392167,0.0005526759,0.000004002924,0.000002906612,0.000008114642,0.0001540788,0.0000132322,0.0004958776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001465701,"threshold_uncertainty_score":0.003900409,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.00535206566537974,"score_gpt":0.1869910682271812,"score_spread":0.1816390025618014,"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."}}