{"id":"W2035634444","doi":"10.1115/1.1468863","title":"Generic Simulation Approach for Multi-Axis Machining, Part 1: Modeling Methodology","year":2002,"lang":"en","type":"article","venue":"Journal of Manufacturing Science and Engineering","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":54,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Machining; Enhanced Data Rates for GSM Evolution; Computer science; Deflection (physics); Surface (topology); Cutting tool; Representation (politics); Topology (electrical circuits); Mechanical engineering; Engineering drawing; Engineering; Geometry; Mathematics; Artificial intelligence","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":[0.0008106923,0.000145017,0.0002676203,0.0003607528,0.00009701972,0.00004809569,0.0002073749,0.00005096462,0.000004212955],"category_scores_gemma":[0.0002233605,0.0001263928,0.0000740101,0.0002059203,0.00004104504,0.0004920773,0.00002960986,0.0002014202,3.39268e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000088913,"about_ca_system_score_gemma":0.000004972196,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001130091,"about_ca_topic_score_gemma":9.488561e-8,"domain_scores_codex":[0.9989545,0.000009552601,0.000356014,0.0001551788,0.0002362594,0.0002885049],"domain_scores_gemma":[0.9995178,0.00009282856,0.00007732981,0.0001071942,0.00008774532,0.0001171147],"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":[0.000001792835,0.000007952711,0.000006497023,0.00003923374,0.00001633798,0.000001117464,0.0001226423,0.9678887,0.006165517,0.000008968213,0.000008937459,0.02573234],"study_design_scores_gemma":[0.0001451018,0.00003413301,0.00004357159,0.00001751267,0.00002219805,0.00002547824,0.00002852212,0.9787786,0.02014872,0.0000371057,0.0005770779,0.0001419547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1470022,0.0004778439,0.8522018,0.000009215044,0.000119238,0.00005905309,6.148078e-7,0.00009405056,0.00003599731],"genre_scores_gemma":[0.6015329,0.0001051646,0.3982479,0.00001049447,0.00008026986,0.00000364079,2.083598e-7,0.00001384623,0.000005559581],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.4545307,"threshold_uncertainty_score":0.5154147,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1202627841586088,"score_gpt":0.3079531524614327,"score_spread":0.1876903683028239,"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."}}