{"id":"W2012271812","doi":"10.1115/detc2005-84611","title":"A New High Precision Fitting Approach for NURBS Tool Paths Generation","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Interpolation (computer graphics); Computer science; Process (computing); Algorithm; Surface (topology); Machine tool; Function (biology); Engineering drawing; Engineering; Geometry; Artificial intelligence; Mathematics; Motion (physics); Mechanical engineering","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007883921,0.001431689,0.0007202327,0.001275338,0.0005750478,0.0007802158,0.001677081,0.001014732,0.003399495],"category_scores_gemma":[0.002857292,0.0008203834,0.001040444,0.00159574,0.000589769,0.001380362,0.0009020267,0.001457729,0.002034949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006731572,"about_ca_system_score_gemma":0.0009039338,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002247105,"about_ca_topic_score_gemma":0.002640644,"domain_scores_codex":[0.9981654,0.000193161,0.00008231083,0.0002805384,0.001225993,0.00005263981],"domain_scores_gemma":[0.9991498,0.0001487204,0.0000608541,0.0002298126,0.0003834554,0.00002739527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00008680286,0.00006386515,0.0006275805,0.0002292303,0.0000652297,0.0001766855,0.0003755475,0.2183983,0.06755466,0.04784264,0.004717837,0.6598616],"study_design_scores_gemma":[0.0000180326,0.00008451672,0.000277541,0.00002355382,0.00003073955,0.0003669351,0.00003934439,0.9161519,0.03179817,0.007013693,0.04413051,0.00006508097],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000497531,0.00003172792,0.9986497,0.00001209133,0.00001362243,0.00001232092,0.000008977068,0.0003311979,0.0004429441],"genre_scores_gemma":[0.03369405,0.000189295,0.9627262,0.00003159788,0.00002588391,0.00008535057,0.0001365862,0.0002050483,0.00290596],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003399495,"threshold_uncertainty_score":0.01137245,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01346884129684228,"score_gpt":0.2431436513188085,"score_spread":0.2296748100219662,"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."}}