{"id":"W2006095056","doi":"10.1016/j.comgeo.2013.04.002","title":"On plane geometric spanners: A survey and open problems","year":2013,"lang":"en","type":"article","venue":"Computational Geometry","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":83,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Combinatorics; Spanner; Enhanced Data Rates for GSM Evolution; Graph; Mathematics; Plane (geometry); Path (computing); Discrete mathematics; Computer science; Geometry; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001687075,0.001690723,0.002986131,0.003300081,0.001264033,0.004484015,0.003489703,0.002495346,0.01101335],"category_scores_gemma":[0.005097008,0.001385475,0.001497159,0.00808763,0.002754973,0.0115146,0.004107024,0.003432231,0.004383833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008671803,"about_ca_system_score_gemma":0.0008939613,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009387231,"about_ca_topic_score_gemma":0.001092609,"domain_scores_codex":[0.9984763,0.0003339124,0.0001130686,0.0004625739,0.0004769329,0.0001372123],"domain_scores_gemma":[0.9968295,0.001974169,0.0001846165,0.000543697,0.000335517,0.0001325207],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009499455,0.0002364109,0.001767864,0.002412223,0.0000870546,0.0001517265,0.0003618606,0.04015447,0.001298679,0.4413831,0.01760296,0.4944486],"study_design_scores_gemma":[0.00002557881,0.0001420785,0.0007747308,0.0007542059,0.00005745723,0.0006799022,0.0004340734,0.08986273,0.001480306,0.7986647,0.1070694,0.00005489586],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.02475542,0.1188537,0.7986555,0.002836107,0.0009445161,0.0001360846,0.0005414285,0.0006402479,0.05263698],"genre_scores_gemma":[0.1890892,0.2887554,0.484303,0.001869151,0.005326555,0.0002797632,0.002889625,0.000932511,0.02655474],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.01101335,"threshold_uncertainty_score":0.03684336,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03540804549230224,"score_gpt":0.2662650854645597,"score_spread":0.2308570399722574,"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."}}