{"id":"W2000655985","doi":"10.1115/detc2008-49735","title":"Tolerance Analysis in Machining: An Approach Combining the Model of Manufactured Part and the Jacobian-Torsor Model","year":2008,"lang":"en","type":"article","venue":"","topic":"Manufacturing Process and Optimization","field":"Engineering","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université de Sherbrooke","funders":"","keywords":"Jacobian matrix and determinant; Machining; Kinematics; Interval (graph theory); Computer science; Displacement (psychology); Algorithm; Mathematics; Mechanical engineering; Applied mathematics; Engineering","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":[0.0004694853,0.0006118171,0.0006954966,0.0008311116,0.000166056,0.0008673056,0.001524492,0.000725652,0.002104268],"category_scores_gemma":[0.0009704918,0.0003280312,0.0008294813,0.0006441652,0.0005841054,0.001172866,0.0005695528,0.0007550436,0.0005331734],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004209862,"about_ca_system_score_gemma":0.0005676468,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001760106,"about_ca_topic_score_gemma":0.001275225,"domain_scores_codex":[0.9994893,0.00008491879,0.00002162681,0.00005430087,0.0003244515,0.00002534524],"domain_scores_gemma":[0.9997758,0.00007175612,0.00003651582,0.00004770889,0.0000601857,0.000008022248],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00003465823,0.00003739123,0.0004624245,0.0001842356,0.00002998367,0.0001945997,0.000113295,0.8254619,0.01809056,0.08661747,0.0007092443,0.06806429],"study_design_scores_gemma":[0.000004479436,0.00005066897,0.000168437,0.000008410757,0.00001060301,0.00009702799,0.00001251169,0.9862707,0.001913627,0.009274706,0.002179204,0.000009744617],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002946541,0.00009410684,0.9948096,0.0000245742,0.00001189654,0.000009053821,0.00001574124,0.00008736433,0.002001015],"genre_scores_gemma":[0.5197545,0.001389321,0.4687368,0.00005998984,0.0001002916,0.0001408265,0.0001596976,0.0002659762,0.009392643],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002104268,"threshold_uncertainty_score":0.007039547,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02136447426269725,"score_gpt":0.2024810201326495,"score_spread":0.1811165458699522,"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."}}