{"id":"W326660698","doi":"10.1016/j.ijmachtools.2015.05.005","title":"An accurate, efficient envelope approach to modeling the geometric deviation of the machined surface for a specific five-axis CNC machine tool","year":2015,"lang":"en","type":"article","venue":"International Journal of Machine Tools and Manufacture","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"Concordia University","funders":"","keywords":"Envelope (radar); Machining; Machine tool; Surface (topology); Kinematics; Cutter location; Numerical control; Interpolation (computer graphics); Computation; Motion (physics); Engineering; Mechanical engineering; Computer science; Geometry; Algorithm; Mathematics; Physics; Artificial intelligence; Aerospace engineering; Classical mechanics","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":[0.0005597956,0.0001868829,0.000278122,0.0001776522,0.0000588818,0.00009559226,0.000663372,0.0000576131,0.00000854616],"category_scores_gemma":[0.0001901853,0.0001011715,0.0001454924,0.0002719353,0.00002367994,0.0002251013,0.00008580388,0.0002871978,6.275773e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001144416,"about_ca_system_score_gemma":0.0000223936,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002935995,"about_ca_topic_score_gemma":0.000006189805,"domain_scores_codex":[0.9986157,0.00005054198,0.0005229993,0.0001479829,0.0005194691,0.000143271],"domain_scores_gemma":[0.9989641,0.0001247708,0.0002282353,0.0001960277,0.000392721,0.00009418104],"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":[0.0001214438,0.0000652702,0.0001515046,0.00001164896,0.000109483,9.015158e-7,0.0002741416,0.9778833,0.001164172,0.0001679848,0.0003643874,0.01968576],"study_design_scores_gemma":[0.0006553554,0.00012106,0.002668692,0.00002975352,0.00004906777,0.000051884,0.00009298664,0.9847687,0.005786443,0.00115359,0.004439588,0.000182856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3347348,0.0006298405,0.6634665,0.0005095471,0.0001946135,0.0002403239,0.00009925995,0.00002367956,0.000101489],"genre_scores_gemma":[0.9704406,0.0001076443,0.02907639,0.0001484505,0.0001370812,0.00000725724,0.00002847885,0.00002278756,0.00003127323],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6357058,"threshold_uncertainty_score":0.4125653,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02453006924035109,"score_gpt":0.2725598166726612,"score_spread":0.2480297474323101,"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."}}