{"id":"W2143804574","doi":"10.1109/ccece.2005.1557147","title":"Grid resource discovery using small world overlay graphs","year":2006,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Scalability; Overlay network; Distributed computing; Grid; Overlay; Computation; Network packet; Graph; Shared resource; Grid computing; Computer network; Theoretical computer science; Algorithm; The Internet; Database; World Wide Web","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":[0.001350313,0.0005931754,0.0008906692,0.002123926,0.001529881,0.001831872,0.001457924,0.0009001032,0.0010068],"category_scores_gemma":[0.007424489,0.0005099302,0.0005177684,0.00261919,0.0008404219,0.003128472,0.002075006,0.0006088037,0.0002786456],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001363184,"about_ca_system_score_gemma":0.001425495,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009268863,"about_ca_topic_score_gemma":0.007702864,"domain_scores_codex":[0.9989095,0.0003632387,0.00007465918,0.0001901905,0.0003598178,0.0001025332],"domain_scores_gemma":[0.9967578,0.001784823,0.0002728285,0.000585364,0.000391028,0.0002081814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002630516,0.00009756851,0.002798542,0.0001447257,0.00009035944,0.0004123564,0.0003778819,0.7603154,0.006082391,0.05143653,0.00454468,0.1734365],"study_design_scores_gemma":[0.00002376481,0.00001583823,0.0001902836,0.000005354054,0.00001217446,0.0000547116,0.00007736276,0.9719081,0.002318666,0.02231473,0.003069571,0.000009417067],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05973414,0.0002639459,0.9341064,0.0005681217,0.00004189726,0.0001635023,0.0001414865,0.002125242,0.002855181],"genre_scores_gemma":[0.556129,0.0003949653,0.4403619,0.00008137494,0.00003454091,0.0001258957,0.0004832757,0.0001179831,0.002271099],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009268863,"threshold_uncertainty_score":0.01842982,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01952682761983097,"score_gpt":0.2209850771668736,"score_spread":0.2014582495470426,"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."}}