{"id":"W4249211545","doi":"10.1145/1109557.1109583","title":"Morphing orthogonal planar graph drawings","year":2006,"lang":"en","type":"article","venue":"Proceedings of the seventeenth annual ACM-SIAM symposium on Discrete algorithm - SODA '06","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Planarity testing; Morphing; Vertex (graph theory); Planar graph; Orthogonality; Computer science; Combinatorics; Planar; Book embedding; Graph drawing; Graph; Mathematics; Line graph; Pathwidth; Geometry; Computer graphics (images)","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":[0.0003458127,0.0005930436,0.0005636691,0.0009419368,0.0005202388,0.0009079847,0.0009146358,0.0005751759,0.007181399],"category_scores_gemma":[0.002192973,0.0005508423,0.0007539985,0.0008103513,0.0007754357,0.001411799,0.002568903,0.001133482,0.00113591],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004324713,"about_ca_system_score_gemma":0.0003730914,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001114582,"about_ca_topic_score_gemma":0.001518885,"domain_scores_codex":[0.999435,0.00006010066,0.00003426455,0.0001164116,0.0002751555,0.00007908683],"domain_scores_gemma":[0.9993652,0.0001452979,0.00007391356,0.000240077,0.0001323321,0.00004325363],"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":[0.0002083686,0.00008362439,0.001348034,0.0002373156,0.00004363048,0.0002739636,0.0003324641,0.1052325,0.04125747,0.1698454,0.01062176,0.6705155],"study_design_scores_gemma":[0.0000920839,0.0001919748,0.0008868194,0.00005526776,0.00006197474,0.0007621345,0.0003249833,0.6642469,0.0491894,0.2089336,0.07518265,0.00007231761],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03005451,0.00008829161,0.9609537,0.0001137464,0.00007042054,0.000109995,0.0001758253,0.001798876,0.00663458],"genre_scores_gemma":[0.2109934,0.0002111094,0.7800451,0.00008449594,0.00002639199,0.000133701,0.000703354,0.0006343199,0.007168123],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007181399,"threshold_uncertainty_score":0.02402419,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006601419581088751,"score_gpt":0.2205228613318167,"score_spread":0.2139214417507279,"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."}}