{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005545127,0.0008400836,0.0004669184,0.0007338005,0.0005520278,0.001168782,0.002132406,0.0005887244,0.01011537],"category_scores_gemma":[0.001847317,0.0003836798,0.0008210443,0.0007751528,0.0006131405,0.002053714,0.001502589,0.000968338,0.002933494],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008980677,"about_ca_system_score_gemma":0.001335967,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004918238,"about_ca_topic_score_gemma":0.01089664,"domain_scores_codex":[0.9996779,0.00005850029,0.0000192827,0.00007342899,0.0001376878,0.00003326865],"domain_scores_gemma":[0.9993849,0.0001941006,0.00003282478,0.00021849,0.0001200102,0.00004965085],"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":[0.0007182235,0.0004012098,0.003634833,0.001259922,0.0003456617,0.000391795,0.0003960835,0.2608571,0.03635262,0.1873495,0.06966677,0.4386263],"study_design_scores_gemma":[0.000130101,0.0001083739,0.0005346093,0.00005172957,0.00004554031,0.00014278,0.00007753704,0.8429887,0.0167631,0.09433379,0.04477796,0.00004585855],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02245364,0.0006067167,0.9102094,0.0004224999,0.0002229918,0.000226745,0.001198974,0.04945886,0.01520018],"genre_scores_gemma":[0.2358011,0.0004661588,0.7415427,0.0004310541,0.00005130934,0.0003538157,0.003605616,0.004054951,0.01369333],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01011537,"threshold_uncertainty_score":0.03383934,"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."}}