{"id":"W2248326503","doi":"10.1016/j.tcs.2016.04.026","title":"Recognizing and drawing IC-planar graphs","year":2016,"lang":"en","type":"article","venue":"Theoretical Computer Science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":55,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Natural Sciences and Engineering Research Council of Canada; Ministero dell’Istruzione, dell’Università e della Ricerca; Deutsche Forschungsgemeinschaft","keywords":"Planar graph; Combinatorics; Planar straight-line graph; Book embedding; Mathematics; Planarity testing; Outerplanar graph; 1-planar graph; Planar; Time complexity; Graph drawing; Discrete mathematics; Rotation system; Pathwidth; Line graph; Graph; Computer science","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":[0.000384161,0.00126978,0.001029471,0.001920911,0.0007487765,0.002660164,0.002461945,0.001726549,0.009786546],"category_scores_gemma":[0.002860821,0.0009622423,0.001285894,0.002012889,0.001174504,0.003314388,0.002033409,0.002274357,0.002702695],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008985859,"about_ca_system_score_gemma":0.0006202402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00532996,"about_ca_topic_score_gemma":0.008175215,"domain_scores_codex":[0.9991724,0.00009831423,0.00005211524,0.00033365,0.0002127812,0.000130705],"domain_scores_gemma":[0.9988087,0.0003594065,0.0001137876,0.0003770251,0.0002562232,0.00008482592],"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":[0.0002675481,0.0001413218,0.002878115,0.0006219622,0.00007665499,0.0005532524,0.0007475759,0.1711873,0.03838839,0.1475957,0.01669515,0.620847],"study_design_scores_gemma":[0.00002627232,0.00008800524,0.001001381,0.0000767905,0.00005134128,0.0003658741,0.0006065083,0.8154096,0.03152344,0.1280683,0.02274891,0.00003350042],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04759834,0.0001731212,0.9347717,0.0002570856,0.00007192916,0.0001809177,0.0004484715,0.0036273,0.0128711],"genre_scores_gemma":[0.2993457,0.0003585443,0.6851399,0.0001642246,0.00005150718,0.0001156302,0.002555992,0.001014651,0.01125387],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009786546,"threshold_uncertainty_score":0.03273928,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01154503844059302,"score_gpt":0.2377837308716378,"score_spread":0.2262386924310447,"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."}}