{"id":"W2052373622","doi":"10.1145/1328911.1328921","title":"Approximate distance oracles for geometric spanners","year":2008,"lang":"en","type":"article","venue":"ACM Transactions on Algorithms","topic":"Computational Geometry and Mesh Generation","field":"Computer Science","cited_by":41,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"","keywords":"Mathematics; Combinatorics; Shortest path problem; Constant (computer programming); Data structure; Euclidean space; Binary logarithm; Distance; Oracle; Path (computing); Discrete mathematics; Dilation (metric space); Computational geometry; Graph; Algorithm; Computer science","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":[],"consensus_categories":[],"category_scores_codex":[0.0001538712,0.000145201,0.0001396673,0.0003887409,0.000510498,0.00006453748,0.0005154047,0.00005544133,0.00001643288],"category_scores_gemma":[0.00004865892,0.0001437535,0.0001168566,0.001416222,0.00004379865,0.000442306,0.000009065736,0.0001095046,0.0000402926],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005590355,"about_ca_system_score_gemma":0.00006938434,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008691519,"about_ca_topic_score_gemma":0.000004076101,"domain_scores_codex":[0.9988267,0.0000257672,0.0002100642,0.0003996849,0.0002863346,0.0002514114],"domain_scores_gemma":[0.9989339,0.0002611994,0.00006143514,0.0005088433,0.0001382076,0.00009640503],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002915779,0.0003553371,0.00001335398,0.00002263328,0.00005126468,0.00001090224,0.000316637,0.06628166,0.0001906347,0.007034712,0.0007598425,0.9249339],"study_design_scores_gemma":[0.00220901,0.0006643855,0.00269165,0.00002911312,0.00003614205,0.0001970946,0.00006931475,0.9015295,0.0247986,0.02379437,0.04308888,0.0008919376],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002044744,0.0001285205,0.9953543,0.001199336,0.0006345415,0.0002747665,0.00003096347,0.0002107956,0.0001220558],"genre_scores_gemma":[0.4181785,0.00009640836,0.5800534,0.0002693835,0.000096176,0.000130549,0.00001581537,0.00001337641,0.00114638],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9240419,"threshold_uncertainty_score":0.5862097,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03916038913989277,"score_gpt":0.2687088556867836,"score_spread":0.2295484665468908,"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."}}