{"id":"W1972972524","doi":"10.1177/0954405412450380","title":"A phenomenological modeling of deformation during metal cutting: a modified thick shear zone analysis","year":2012,"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":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Mechanics; Machining; Materials science; Shear zone; Shear (geology); Equidistant; Simple shear; Shear rate; Deformation (meteorology); Strain rate; Geology; Geometry; Composite material; Physics; Mathematics; Metallurgy","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":[0.0003425471,0.0007376286,0.0003896159,0.0006552359,0.0002431401,0.000663765,0.001347983,0.000684022,0.0009846152],"category_scores_gemma":[0.0004589216,0.0003829327,0.000736484,0.0004814827,0.0007711984,0.00108036,0.0004943855,0.0006888969,0.0003611906],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003779318,"about_ca_system_score_gemma":0.0004315225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760592,"about_ca_topic_score_gemma":0.001058816,"domain_scores_codex":[0.9998639,0.00002486262,0.000009169609,0.00003088955,0.00005170679,0.00001940151],"domain_scores_gemma":[0.9998906,0.00003224638,0.00002567514,0.000020855,0.00002337461,0.00000734345],"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":[0.00007727164,0.0000466477,0.001030683,0.0001158158,0.00002086262,0.0001987937,0.0001567817,0.8973266,0.05162986,0.03218519,0.0002269646,0.01698461],"study_design_scores_gemma":[0.000004982164,0.00003340438,0.0003229471,0.000005262144,0.00000465953,0.00003975761,0.00001390819,0.9942679,0.002197245,0.002521322,0.0005793495,0.000009250671],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08741428,0.0006669103,0.9053769,0.0000894061,0.00005189382,0.00006346309,0.00007747154,0.0001117358,0.006147898],"genre_scores_gemma":[0.9034123,0.001010607,0.08842719,0.00005324193,0.00004599175,0.00009076731,0.00009436417,0.00007268472,0.006792922],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001760592,"threshold_uncertainty_score":0.0035007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01224344226754345,"score_gpt":0.2083350089531668,"score_spread":0.1960915666856234,"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."}}