{"id":"W4288089758","doi":"10.48550/arxiv.1910.10376","title":"Emanation Graph: A Plane Geometric Spanner with Steiner Points","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Data Visualization and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Combinatorics; Spanner; Delaunay triangulation; Bounded function; Mathematics; Graph; Spatial network; Discrete mathematics; Computer science; Mathematical analysis","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001980551,0.0002634001,0.0002795866,0.001107554,0.00008124631,0.0002076495,0.00143374,0.000177953,0.00005533001],"category_scores_gemma":[0.00002762049,0.0002535112,0.0001005697,0.002170253,0.00005329839,0.0005171467,0.001053767,0.000306305,0.0002820804],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009810355,"about_ca_system_score_gemma":0.0001414497,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008571627,"about_ca_topic_score_gemma":0.00004024652,"domain_scores_codex":[0.9983903,0.0000800625,0.0001664393,0.0009130097,0.0001828703,0.0002673781],"domain_scores_gemma":[0.9981254,0.00005812183,0.0002743314,0.001177096,0.0002309904,0.0001341042],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004991672,0.000314599,0.0191933,0.0002458711,0.0003489348,0.0004581132,0.0002155229,0.4575094,0.00000680346,0.5139155,0.006942131,0.0007999373],"study_design_scores_gemma":[0.001252682,0.0001588698,0.005582597,0.0001661818,0.0001434915,0.0000103995,0.00007677096,0.9777803,0.00007446899,0.009507085,0.004375118,0.0008719988],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04991584,0.00002399488,0.9463785,0.0001249237,0.0003294238,0.0002224303,0.00004076727,0.0001948792,0.002769199],"genre_scores_gemma":[0.9920324,0.0001122599,0.001349071,0.0002416497,0.00003990456,3.521575e-7,0.0002131504,0.00001737237,0.005993819],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9450295,"threshold_uncertainty_score":0.9999917,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05702576016548093,"score_gpt":0.1953426792053951,"score_spread":0.1383169190399142,"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."}}