{"id":"W2793122650","doi":"10.1109/infocom.2018.8486361","title":"A Hierarchical Synchronous Parallel Model for Wide-Area Graph Analytics","year":2018,"lang":"en","type":"article","venue":"","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Correctness; Bulk synchronous parallel; Distributed computing; Graph; Graph database; Analytics; Power graph analysis; Data analysis; Parallel computing; Theoretical computer science; Data mining; Parallel algorithm; Algorithm","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":[0.001479798,0.0006461383,0.0005401305,0.0007187524,0.0008007517,0.00148447,0.002405919,0.0005690139,0.004021136],"category_scores_gemma":[0.003652669,0.0004443965,0.0007785577,0.001255193,0.0009613745,0.002916188,0.001380631,0.001105843,0.001190735],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001344844,"about_ca_system_score_gemma":0.002729652,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005496365,"about_ca_topic_score_gemma":0.008096073,"domain_scores_codex":[0.9986505,0.0003351786,0.00009116962,0.000307532,0.0004778765,0.0001378303],"domain_scores_gemma":[0.9980756,0.0004796719,0.0001334657,0.0006895941,0.0004680538,0.0001536103],"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":[0.0004082555,0.0002467343,0.002209882,0.000239634,0.00008133053,0.000280694,0.0003614902,0.5961851,0.01179228,0.3013165,0.01583076,0.0710474],"study_design_scores_gemma":[0.00004644681,0.00004871118,0.000151684,0.000005971539,0.00001740276,0.00003795476,0.00003078616,0.9415348,0.001887108,0.05060001,0.005629334,0.000009842701],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0105639,0.00008204305,0.9826089,0.0002841459,0.00005804434,0.0001255616,0.0002539548,0.001635676,0.004387808],"genre_scores_gemma":[0.4150858,0.0003512943,0.5731136,0.0002600214,0.0001650776,0.0006791623,0.001005095,0.0004746267,0.008865364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005496365,"threshold_uncertainty_score":0.01345205,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02627639618648826,"score_gpt":0.2569445186787452,"score_spread":0.230668122492257,"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."}}