{"id":"W2084795187","doi":"10.1016/s0890-6955(01)00129-8","title":"A chip formation based analytic force model for oblique cutting","year":2002,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced machining processes and optimization","field":"Engineering","cited_by":51,"is_retracted":false,"has_abstract":false,"ca_institutions":"McMaster University","funders":"","keywords":"Oblique case; Chip formation; Chip; Constitutive equation; Materials science; Shear (geology); Structural engineering; Shear force; Machining; Shear stress; Mechanics; Geometry; Mechanical engineering; Engineering; Composite material; Mathematics; Finite element method; Physics; Tool wear","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001028744,0.0001100454,0.0001319086,0.0001283811,0.00004216336,0.0000890516,0.0001328518,0.00004839059,0.00002762786],"category_scores_gemma":[0.00007284327,0.00009090533,0.00007239069,0.0000323794,0.000007877662,0.0005730264,0.00001118566,0.0001509769,4.786528e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004172298,"about_ca_system_score_gemma":0.000006876942,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":6.154892e-7,"about_ca_topic_score_gemma":0.000003189741,"domain_scores_codex":[0.9993859,0.000005241372,0.0002828058,0.0000651847,0.0001616108,0.00009929069],"domain_scores_gemma":[0.9995354,0.00006706353,0.0001511328,0.00004459235,0.0001529626,0.00004888069],"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":[0.00003116866,0.00001161751,0.00001748218,0.00004929278,0.00003712881,0.000002492404,0.0001738419,0.9576446,0.0001829877,0.000216401,0.0003384929,0.0412945],"study_design_scores_gemma":[0.0007368817,0.00003976375,0.00006222912,0.00005507676,0.00002356477,0.00005217917,0.00001049316,0.993976,0.001236921,0.001946333,0.001764503,0.00009607796],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.009858593,0.0005675227,0.9881469,0.0006298907,0.0001879575,0.0000837283,0.00005042742,0.00003305415,0.0004419421],"genre_scores_gemma":[0.9677755,0.00029897,0.03127225,0.0003341975,0.0001413766,0.000004048992,0.00003238471,0.00001820792,0.0001231031],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9579169,"threshold_uncertainty_score":0.3707012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01723914490832018,"score_gpt":0.2442785536516148,"score_spread":0.2270394087432946,"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."}}