{"id":"W2107301663","doi":"10.1109/imsaa.2009.5439468","title":"A locality preserving routing overlay using geographic coordinates","year":2009,"lang":"en","type":"article","venue":"","topic":"Peer-to-Peer Network Technologies","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Pastry; Locality; Computer science; Overlay network; Overlay; Distributed computing; Computer network; Routing (electronic design automation); Network topology; Overhead (engineering); Convergence (economics)","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":[0.0004924778,0.0002730229,0.0004589856,0.0006584906,0.0007333607,0.0008363788,0.001015341,0.00048508,0.0007554013],"category_scores_gemma":[0.001497142,0.0002151116,0.0003065656,0.0006693352,0.0005582314,0.001688492,0.001422194,0.0004573497,0.0003442217],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005516334,"about_ca_system_score_gemma":0.000595078,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001428725,"about_ca_topic_score_gemma":0.001758493,"domain_scores_codex":[0.9994339,0.0001376022,0.00004155011,0.0001013723,0.0002441972,0.00004121399],"domain_scores_gemma":[0.9993693,0.0001223179,0.00008258004,0.0002242197,0.0001488692,0.0000526261],"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":[0.0002439147,0.0002075276,0.003253543,0.0005161574,0.0001265546,0.001263124,0.00101591,0.2509711,0.2324419,0.1301319,0.007012955,0.3728153],"study_design_scores_gemma":[0.00005288603,0.000402458,0.001678729,0.000037623,0.0001361123,0.002023802,0.0003277558,0.8239036,0.06496263,0.02369669,0.08267219,0.0001055986],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02995087,0.0002141549,0.9650079,0.0001672817,0.00004407102,0.0001083445,0.00005871164,0.001342462,0.003106266],"genre_scores_gemma":[0.5111405,0.00040458,0.4849158,0.0000550016,0.00005646531,0.0001318338,0.0001990377,0.00009694949,0.002999809],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001428725,"threshold_uncertainty_score":0.004002333,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02166633646561679,"score_gpt":0.2701148819199329,"score_spread":0.2484485454543161,"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."}}