{"id":"W2170243444","doi":"10.1007/s00453-010-9465-2","title":"Geometric Spanners for Weighted Point Sets","year":2010,"lang":"en","type":"article","venue":"Algorithmica","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Australian Research Council; Nederlandse Organisatie voor Wetenschappelijk Onderzoek; Danmarks Grundforskningsfond; Center for Massive Data Algorithmics; Technische Universität Dortmund; National Research Foundation; Australian Government","keywords":"Combinatorics; Mathematics; Geodesic; Metric space; Bounded function; Boundary (topology); Euclidean space; Dimension (graph theory); Regular polygon; Convex body; Function (biology); Discrete mathematics; Convex hull; Geometry; Mathematical analysis","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0006742763,0.000832445,0.0006577489,0.001966798,0.0007211473,0.001241378,0.001098106,0.0007995234,0.007513048],"category_scores_gemma":[0.003843504,0.0003929266,0.0008534855,0.001649629,0.001159762,0.003486286,0.002489685,0.001126993,0.001203293],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005652697,"about_ca_system_score_gemma":0.0001905039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003594759,"about_ca_topic_score_gemma":0.0004230473,"domain_scores_codex":[0.9992022,0.0001340279,0.00008813009,0.0002126455,0.0002650718,0.00009798588],"domain_scores_gemma":[0.9985719,0.0005328266,0.0002732385,0.000214531,0.0001955908,0.0002119265],"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":[0.0001369408,0.00005247754,0.001516999,0.0001636821,0.00005057986,0.0003298037,0.0006171695,0.05208414,0.01338585,0.8827597,0.001347513,0.0475551],"study_design_scores_gemma":[0.00001664096,0.0001836607,0.0008752742,0.00004285842,0.00001684763,0.0004010325,0.0002395951,0.09272163,0.005647359,0.8923728,0.00745493,0.00002737456],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4029453,0.0004209053,0.581644,0.000168851,0.00005689498,0.00006056035,0.0004224479,0.0003457778,0.01393529],"genre_scores_gemma":[0.7974419,0.0005047811,0.1807044,0.0001283823,0.0001013683,0.000239263,0.001598638,0.0002757902,0.01900548],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007513048,"threshold_uncertainty_score":0.02513367,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01012109591005427,"score_gpt":0.2523480568604103,"score_spread":0.2422269609503561,"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."}}