{"id":"W3137936197","doi":"10.1109/bigdata50022.2020.9378430","title":"HyGN: Hybrid Graph Engine for NUMA","year":2020,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Asynchronous communication; Parallel computing; Shared memory; Distributed computing; Exploit; Graph; Distributed memory; Memory architecture; Computation; Computer architecture; Theoretical computer science; Programming language; Computer network","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":[0.00009612515,0.00007331094,0.0000841954,0.00002871915,0.00006454243,0.00005727767,0.0005042144,0.0000125583,0.00003707251],"category_scores_gemma":[0.00002224803,0.00006099856,0.0000839106,0.0002126516,0.00001608141,0.0001986444,0.00007551017,0.00004432727,0.00005589027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000001933381,"about_ca_system_score_gemma":0.000009320904,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":7.884562e-7,"about_ca_topic_score_gemma":1.279662e-7,"domain_scores_codex":[0.9994352,0.00001281111,0.00008988368,0.0002225461,0.00007671932,0.0001628238],"domain_scores_gemma":[0.999605,0.00005603795,0.00001772626,0.000184566,0.0000294913,0.0001071885],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000007322992,0.00002997531,0.00002142752,0.00001460176,0.00001679474,0.00001035151,0.0002899122,0.000113431,0.0004077617,0.9308112,0.0081998,0.06007748],"study_design_scores_gemma":[0.0009360635,0.0005339527,0.00009045141,0.000006772892,0.000007809923,0.00001435656,0.00004379883,0.4550063,0.05089508,0.4386825,0.05337616,0.0004067673],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002700769,0.00003596611,0.9899281,0.00474737,0.0002554815,0.0001103998,0.000003954322,0.0002566809,0.001961301],"genre_scores_gemma":[0.8363444,0.000003707872,0.1589107,0.004235016,0.0001630295,0.00001937398,0.000003117145,0.000007357459,0.0003133487],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8336436,"threshold_uncertainty_score":0.2487449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01823583318707967,"score_gpt":0.214320342089083,"score_spread":0.1960845089020033,"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."}}