{"id":"W2033810223","doi":"10.1016/s0377-0427(01)00478-2","title":"Coaxing a planar curve to comply","year":2002,"lang":"en","type":"article","venue":"Journal of Computational and Applied Mathematics","topic":"Advanced Numerical Analysis Techniques","field":"Engineering","cited_by":7,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Manitoba","funders":"","keywords":"Mathematics; Interpolation (computer graphics); Focus (optics); Mathematical optimization; Graphics; Applied mathematics; Planar; Computer graphics; Optimal control; Bézier curve; Calculus (dental); Algorithm; Computer science; Geometry; Computer graphics (images); Animation","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":[0.0005462723,0.0009228069,0.0007425383,0.001228115,0.001528792,0.001689599,0.0008773361,0.001475775,0.01743671],"category_scores_gemma":[0.003795543,0.0002589932,0.0005438433,0.001147424,0.001914215,0.002209661,0.00434392,0.001869428,0.004093548],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005305386,"about_ca_system_score_gemma":0.00103857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001003235,"about_ca_topic_score_gemma":0.0007199328,"domain_scores_codex":[0.9990921,0.0001116649,0.00004992685,0.000221025,0.0003118349,0.0002134685],"domain_scores_gemma":[0.9986773,0.0002498457,0.0001834289,0.0003404777,0.0003878652,0.000161059],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0003725193,0.0002063741,0.001168182,0.0002523296,0.00003422583,0.0006868682,0.001353079,0.03329119,0.04286354,0.6768514,0.0127585,0.2301618],"study_design_scores_gemma":[0.0001784488,0.001445484,0.001436922,0.0001487408,0.00005810964,0.001833242,0.002703375,0.1695243,0.06767525,0.5300095,0.2248756,0.0001108957],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1971758,0.0001333063,0.6948714,0.001205035,0.0005153184,0.0004378862,0.0002488561,0.001189196,0.1042233],"genre_scores_gemma":[0.7427058,0.0003653221,0.1876031,0.0003866841,0.0001178455,0.0003968939,0.0005876969,0.0008668514,0.06696989],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01743671,"threshold_uncertainty_score":0.05833161,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01609878847386144,"score_gpt":0.233576687316758,"score_spread":0.2174778988428965,"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."}}