{"id":"W2899458107","doi":"10.1109/cluster.2018.00053","title":"Graph Partitioning Algorithm with LSH: Poster Extended Abstract","year":2018,"lang":"en","type":"article","venue":"","topic":"Caching and Content Delivery","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Graph partition; Algorithm; Hash function; Graph; Locality; Graph bandwidth; Theoretical computer science; Voltage graph; Line graph","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002418726,0.0004876179,0.0004950193,0.001101466,0.0007598918,0.0007844248,0.001060837,0.0005095726,0.005136698],"category_scores_gemma":[0.0009627862,0.0002814115,0.0004343077,0.001405543,0.0004049321,0.001593911,0.001265314,0.0005186707,0.001725364],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006902273,"about_ca_system_score_gemma":0.0009184832,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004239604,"about_ca_topic_score_gemma":0.004184626,"domain_scores_codex":[0.9995919,0.00006646978,0.0000268233,0.0001132365,0.0001471814,0.00005444418],"domain_scores_gemma":[0.9995902,0.00006258395,0.00002936948,0.0001476211,0.0001403362,0.00002991894],"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":[0.0003552733,0.00013,0.001567298,0.0002771195,0.00007098741,0.0001347217,0.0002007919,0.05145264,0.0417622,0.02690784,0.02120981,0.8559313],"study_design_scores_gemma":[0.0001245003,0.0001599226,0.001425924,0.00002458991,0.00004470797,0.0004841861,0.0002145446,0.879106,0.0511352,0.04232528,0.02489178,0.00006334843],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02450704,0.0004619598,0.9657345,0.0002787535,0.0001720541,0.0001567311,0.0002956678,0.004653113,0.003740133],"genre_scores_gemma":[0.2300519,0.0002246292,0.7612073,0.0002061639,0.0001062205,0.0001593338,0.001460552,0.0004101387,0.006173652],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005136698,"threshold_uncertainty_score":0.01718396,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01451024964493544,"score_gpt":0.2257791327788206,"score_spread":0.2112688831338851,"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."}}