{"id":"W4289389740","doi":"10.1145/3239561","title":"Windrose Planarity","year":2018,"lang":"en","type":"article","venue":"ACM Transactions on Algorithms","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Combinatorics; Planar graph; Planarity testing; Mathematics; Planar; Graph drawing; Vertex (graph theory); Monotone polygon; Embedding; Partition (number theory); Planar straight-line graph; Graph; Discrete mathematics; Geometry; Line graph; Pathwidth; Computer science","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001574394,0.0001011949,0.00008531668,0.000156486,0.000336629,0.00009587962,0.0004925448,0.00005367004,0.0001238366],"category_scores_gemma":[0.00002012703,0.0001003369,0.00005591249,0.0005593117,0.00004934274,0.000354726,0.00001128626,0.0001258314,0.0004716535],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003323145,"about_ca_system_score_gemma":0.00005688854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001935185,"about_ca_topic_score_gemma":0.00001777082,"domain_scores_codex":[0.9990906,0.00003734813,0.0001515615,0.000303569,0.0002436443,0.0001733342],"domain_scores_gemma":[0.9991145,0.00009153498,0.0000333218,0.0005649582,0.0001084332,0.00008727649],"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":[0.00001041987,0.0001944573,0.000008403278,0.000002798759,0.00002668393,0.000006819159,0.0003276142,0.001924576,0.0003548668,0.005439559,0.0007879076,0.9909159],"study_design_scores_gemma":[0.002130843,0.001977084,0.01275781,0.00004424583,0.0000430783,0.000262331,0.00006901952,0.6837581,0.09239671,0.1084622,0.09695443,0.00114419],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.003360214,0.00001632381,0.9918664,0.002498183,0.001034224,0.00008679668,0.000007987364,0.0001890843,0.0009408495],"genre_scores_gemma":[0.7043523,0.000008496912,0.2933871,0.0009879277,0.0002680789,0.00001579768,0.000004885557,0.00000701529,0.0009683257],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9897717,"threshold_uncertainty_score":0.6062309,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02577832039923237,"score_gpt":0.2761147293072442,"score_spread":0.2503364089080118,"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."}}