{"id":"W2244188037","doi":"10.14778/2824032.2824046","title":"A scalable distributed graph partitioner","year":2015,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":76,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Economy, Trade and Industry","keywords":"Graph partition; Scalability; Partition (number theory); Computer science; Bounded function; Graph; Parallel computing; Space partitioning; Theoretical computer science; Algorithm; Combinatorics; Mathematics; Database","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":[0.0005216477,0.0007492254,0.0007121341,0.0007266485,0.0006690453,0.000948431,0.002013108,0.0007413618,0.01005482],"category_scores_gemma":[0.001644238,0.0004745163,0.0005288359,0.00094251,0.0005141895,0.002392656,0.002291683,0.00103533,0.003229754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006763042,"about_ca_system_score_gemma":0.0009614052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00195761,"about_ca_topic_score_gemma":0.005107653,"domain_scores_codex":[0.9995303,0.00006449292,0.00002471299,0.0001384984,0.0001911021,0.00005088763],"domain_scores_gemma":[0.999351,0.0001498982,0.00003598984,0.0002646371,0.0001303608,0.000068176],"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":[0.0008014411,0.0002604671,0.001437347,0.0004939853,0.0001263962,0.0003129767,0.000420241,0.1566124,0.07121822,0.0352018,0.07886229,0.6542524],"study_design_scores_gemma":[0.0002543894,0.0001562141,0.0006796675,0.00002915264,0.00003444441,0.0003603582,0.0001331537,0.8902818,0.02445482,0.02976233,0.05381474,0.00003892262],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02106206,0.0005443796,0.942062,0.0002695723,0.0001100155,0.0001282645,0.0005144452,0.02843898,0.00687032],"genre_scores_gemma":[0.1537397,0.0003431036,0.8322971,0.0002000423,0.00005629154,0.0002410418,0.002389763,0.002372849,0.008360156],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01005482,"threshold_uncertainty_score":0.03363675,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02429343342382261,"score_gpt":0.2216525087113379,"score_spread":0.1973590752875153,"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."}}