{"id":"W3011494686","doi":"10.3390/jmmp4010024","title":"An Integrated Geometric and Hysteretic Error Model of a Three Axis Machine Tool and Its Identification With a 3D Telescoping Ball-Bar","year":2020,"lang":"en","type":"article","venue":"Journal of Manufacturing and Materials Processing","topic":"Advanced Measurement and Metrology Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Polytechnique Montréal","funders":"Natural Sciences and Engineering Research Council of Canada; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada","keywords":"Mathematics; Meridian (astronomy); Ball (mathematics); Polynomial; Jacobian matrix and determinant; Equator; Inverse; Algorithm; Applied mathematics; Mathematical analysis; Geometry; Physics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0003005355,0.0001377024,0.0003105653,0.0001760058,0.00005038792,0.00007560019,0.00006385017,0.00005585739,0.000002516982],"category_scores_gemma":[0.00003217993,0.0001039525,0.00001032468,0.00006310725,0.00002989757,0.0004532464,0.00001644556,0.0001107851,5.980088e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001492224,"about_ca_system_score_gemma":0.00001671844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001478401,"about_ca_topic_score_gemma":0.000001339128,"domain_scores_codex":[0.9992515,0.00001768705,0.0003714465,0.0001206145,0.000121225,0.0001175268],"domain_scores_gemma":[0.9995639,0.00001131403,0.0002348968,0.00004708552,0.00007415957,0.00006868353],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0002082945,0.00001526289,0.000136114,0.001821138,0.00004418978,0.000005423043,0.0004638932,0.004509595,0.9371929,0.000004185325,0.000001422725,0.05559761],"study_design_scores_gemma":[0.0005053611,0.0002395494,0.001671571,0.0004382925,0.0000809926,0.00005395774,0.00005602002,0.0333163,0.963389,0.0001077379,0.000007489294,0.0001337493],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8126963,0.001126433,0.1859831,0.00002924677,0.00002326524,0.00008945402,0.000004871724,0.00004392891,0.000003385392],"genre_scores_gemma":[0.9807653,0.000241115,0.01891839,0.00001596756,0.0000330677,0.000003010186,0.000001651864,0.00002023651,0.000001212992],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.168069,"threshold_uncertainty_score":0.4239062,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0274605037102453,"score_gpt":0.2427770527169274,"score_spread":0.2153165490066821,"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."}}