{"id":"W2033592732","doi":"10.1145/2591010","title":"Edit propagation using geometric relationship functions","year":2014,"lang":"en","type":"article","venue":"ACM Transactions on Graphics","topic":"Computer Graphics and Visualization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kootenay Association for Science & Technology","funders":"King Abdullah University of Science and Technology; Austrian Science Fund","keywords":"Polygon (computer graphics); Vertex (graph theory); Computer science; Point (geometry); Geometric primitive; Boundary (topology); Edit distance; Computer graphics; Vector graphics; Homogeneous space; Set (abstract data type); Graphics; Geometric modeling; Theoretical computer science; Computer graphics (images); Mathematics; Algorithm; Geometry; Frame (networking); Mathematical analysis","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":[0.001909068,0.001361475,0.001080003,0.003699361,0.00107325,0.002491109,0.002698238,0.001540676,0.004966037],"category_scores_gemma":[0.01011759,0.0009536957,0.00133381,0.002509826,0.001059772,0.004333168,0.003033373,0.002011394,0.001732684],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007890756,"about_ca_system_score_gemma":0.0008066615,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234943,"about_ca_topic_score_gemma":0.003197175,"domain_scores_codex":[0.9970734,0.0004342028,0.0001487844,0.0006309942,0.001523561,0.0001889705],"domain_scores_gemma":[0.9948637,0.002132405,0.0004693551,0.001341431,0.001020356,0.0001727096],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002126984,0.0001862052,0.001589674,0.0002274668,0.0001050164,0.0003569982,0.0008880504,0.1215234,0.05538514,0.076413,0.006694751,0.7364175],"study_design_scores_gemma":[0.00006248792,0.0001635092,0.0007722467,0.00002837627,0.00005120365,0.0005100478,0.0001329806,0.8721041,0.04762741,0.05500291,0.02344122,0.0001034043],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.004608709,0.00007711018,0.9926293,0.00004213876,0.00002923006,0.00002714779,0.00004135195,0.001787556,0.0007575111],"genre_scores_gemma":[0.119036,0.0001820139,0.8755606,0.00009495964,0.00007210123,0.0001326795,0.0002501467,0.001038337,0.003633094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004966037,"threshold_uncertainty_score":0.01661307,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04736047477110437,"score_gpt":0.2911229004561711,"score_spread":0.2437624256850667,"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."}}