{"id":"W2178828915","doi":"10.1007/978-3-319-27261-0_13","title":"Small-Area Orthogonal Drawings of 3-Connected Graphs","year":2015,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Approx; Combinatorics; Planar graph; Graph; Computer science; Outerplanar graph; Discrete mathematics; Mathematics; Line graph; Pathwidth","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.001070235,0.0004408284,0.0005317171,0.001339532,0.0001592282,0.0002408677,0.002301437,0.000274577,0.00003041105],"category_scores_gemma":[0.0001826808,0.0004199978,0.0001616906,0.001306816,0.0004766931,0.0004716954,0.0009036004,0.0005058786,0.00001743897],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001591411,"about_ca_system_score_gemma":0.001215157,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001426235,"about_ca_topic_score_gemma":0.00006318643,"domain_scores_codex":[0.9964695,0.00004049208,0.0006402893,0.001207678,0.001183826,0.0004582058],"domain_scores_gemma":[0.9970599,0.0004606713,0.0004090609,0.0009137013,0.00094757,0.0002090723],"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":[0.00001512503,0.00006193396,0.00008470925,0.00005320249,0.00002894388,0.00005755984,0.0007676212,0.1724424,0.0008578647,0.2265083,0.0001041014,0.5990182],"study_design_scores_gemma":[0.0003863535,0.0002555896,0.000248642,0.0002399342,0.0000118111,0.00008579806,1.397577e-7,0.4283288,0.002624385,0.565743,0.00146833,0.0006072026],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.001435251,0.0006146295,0.9926552,0.0003478128,0.001539969,0.0002846534,0.000008971579,0.0001167153,0.002996811],"genre_scores_gemma":[0.5043103,0.00002946332,0.49381,0.0007997213,0.0003972272,0.000009929271,0.00004457717,0.00003641152,0.000562398],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.598411,"threshold_uncertainty_score":0.9998252,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03781840934344056,"score_gpt":0.2469053469213358,"score_spread":0.2090869375778952,"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."}}