{"id":"W2809683060","doi":"10.14778/3231751.3231764","title":"Experimental analysis of distributed graph systems","year":2018,"lang":"en","type":"preprint","venue":"Proceedings of the VLDB Endowment","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"PageRank; Computer science; Scalability; Heuristics; Graph; Usability; SPARK (programming language); Distributed computing; Power graph analysis; Theoretical computer science; Database; Human–computer interaction; Operating system","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004943497,0.001088987,0.0009253086,0.001659435,0.001717818,0.0012722,0.002643295,0.0008901576,0.003224839],"category_scores_gemma":[0.02394298,0.0004373534,0.0005369631,0.003302697,0.001618292,0.002928802,0.001689961,0.001484033,0.0009092829],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001718655,"about_ca_system_score_gemma":0.00127007,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004570648,"about_ca_topic_score_gemma":0.003715309,"domain_scores_codex":[0.9913518,0.00327176,0.0007378667,0.001664726,0.002272159,0.0007016224],"domain_scores_gemma":[0.9671854,0.01504085,0.001331463,0.008356257,0.006781287,0.001304655],"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":[0.007634188,0.01058544,0.05443492,0.004821795,0.001273178,0.001113035,0.00262308,0.5547334,0.08293042,0.01911139,0.06210752,0.1986316],"study_design_scores_gemma":[0.001793163,0.00639757,0.04281528,0.0001717572,0.0003345361,0.0008520198,0.003108764,0.8039157,0.09328342,0.02332723,0.02379066,0.0002098861],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9636183,0.000705831,0.02058497,0.0007159442,0.00036191,0.0005600923,0.003178966,0.003080703,0.007193227],"genre_scores_gemma":[0.9654979,0.0003088939,0.0245697,0.0001605938,0.0001104004,0.0004484296,0.007044338,0.0003597177,0.001499925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004943497,"threshold_uncertainty_score":0.02614397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01488582966497776,"score_gpt":0.2428290984249875,"score_spread":0.2279432687600098,"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."}}