{"id":"W2206212529","doi":"10.1007/978-3-662-49529-2_19","title":"Improved Spanning Ratio for Low Degree Plane Spanners","year":2016,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"Carleton University","funders":"","keywords":"Spanner; Degree (music); Computer science; Plane (geometry); Graph; Approx; Spanning tree; Combinatorics; Mathematics; Theoretical computer science; Physics; Geometry; Distributed computing","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":[0.0006897574,0.0008790817,0.0009549377,0.001430238,0.0004244937,0.001276221,0.001486596,0.0007311247,0.01136559],"category_scores_gemma":[0.003303182,0.0003237308,0.0004363327,0.001263695,0.0006060232,0.002006499,0.001799403,0.001370387,0.002361458],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005084821,"about_ca_system_score_gemma":0.0002206474,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003249348,"about_ca_topic_score_gemma":0.0005387893,"domain_scores_codex":[0.9993043,0.0001828189,0.00003295905,0.0001283959,0.0002542288,0.00009731139],"domain_scores_gemma":[0.9989669,0.0005209342,0.0000731375,0.0002240647,0.0001185049,0.00009645977],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0007923209,0.0003091937,0.001204448,0.0006608016,0.00007677969,0.0003653798,0.0003503171,0.1271511,0.0800784,0.4015956,0.01523415,0.3721815],"study_design_scores_gemma":[0.00008332472,0.0003908308,0.001146953,0.00008521973,0.00009185137,0.0008592523,0.0001859312,0.6045106,0.03076195,0.3456834,0.01614519,0.00005553896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3091958,0.002082694,0.599806,0.0004073741,0.0003282369,0.000100011,0.0005285376,0.001879118,0.08567238],"genre_scores_gemma":[0.7890621,0.001171671,0.1903447,0.0001838495,0.0001998833,0.0001171369,0.0006866865,0.0008575243,0.01737645],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01136559,"threshold_uncertainty_score":0.03802168,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02497908122707035,"score_gpt":0.2514166378433761,"score_spread":0.2264375566163057,"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."}}