{"id":"W6963357116","doi":"10.20382/jocg.v14i1a3","title":"SPQR-tree-like embedding representation for level planarity","year":2023,"lang":"en","type":"article","venue":"Journal of Computational Geometry (Carleton University)","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Deutsche Forschungsgemeinschaft","keywords":"Planarity testing; Embedding; Book embedding; Representation (politics); Planar; Graph; Graph embedding; Planar graph","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006828578,0.000161959,0.000277257,0.002318854,0.0003022343,0.0001483982,0.0006927062,0.0000887745,0.00001478705],"category_scores_gemma":[0.0001929835,0.0001815883,0.0002667907,0.003628106,0.00003978205,0.001270756,0.0001626701,0.0001863196,0.00002501174],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001732922,"about_ca_system_score_gemma":0.0003377527,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006986701,"about_ca_topic_score_gemma":0.000003933214,"domain_scores_codex":[0.9981357,0.0001127098,0.0004524579,0.0003059111,0.0007286538,0.0002645121],"domain_scores_gemma":[0.9971206,0.0009594889,0.0005181166,0.0001747099,0.001058255,0.0001688527],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001108777,0.00008902397,0.0007844014,0.00003144651,0.0001488921,0.0001131573,0.0002680289,0.9079869,0.0003997743,0.04859965,0.01566143,0.02580637],"study_design_scores_gemma":[0.003248345,0.000498704,0.03931489,0.00006989133,0.00008217325,0.000242469,0.0004751489,0.8431649,0.0007718788,0.04209683,0.0695328,0.0005019856],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1025513,0.00003584809,0.8943242,0.001269517,0.001034741,0.0001582467,0.00002704081,0.0000880527,0.0005110941],"genre_scores_gemma":[0.8089715,0.00003908206,0.1872385,0.0003306828,0.0005074171,0.000001091486,0.0001459809,0.00001767799,0.002748049],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7070857,"threshold_uncertainty_score":0.7404955,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05386085989245618,"score_gpt":0.2875350460733845,"score_spread":0.2336741861809283,"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."}}