{"id":"W2518178976","doi":"10.1002/cpe.3896","title":"BRGP: a balanced RDF graph partitioning algorithm for cloud storage","year":2016,"lang":"en","type":"article","venue":"Concurrency and Computation Practice and Experience","topic":"Graph Theory and Algorithms","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"RDF; Computer science; Graph partition; Partition (number theory); Algorithm; Graph; Cluster analysis; Theoretical computer science; Mathematics; Semantic Web; Information retrieval; Artificial intelligence; Combinatorics","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":[0.0004614886,0.0007766914,0.0005939847,0.001305244,0.0008788882,0.0009752227,0.001701345,0.0006308645,0.003659551],"category_scores_gemma":[0.00136479,0.0003326617,0.0005994324,0.001660948,0.0004234157,0.001838707,0.001495216,0.0007193894,0.00135582],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001107246,"about_ca_system_score_gemma":0.001345443,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009780832,"about_ca_topic_score_gemma":0.01040838,"domain_scores_codex":[0.9995651,0.00005927684,0.00003045981,0.0001237266,0.0001658958,0.00005557858],"domain_scores_gemma":[0.9995283,0.00008106964,0.00003707736,0.0001287733,0.0001919084,0.00003285893],"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":[0.000406195,0.0001437107,0.001181571,0.0001957248,0.00007573831,0.0001609629,0.0002056091,0.365784,0.03307587,0.02534341,0.02596048,0.5474667],"study_design_scores_gemma":[0.00003402364,0.00002017376,0.0001783468,0.000008096627,0.000007093661,0.00004766992,0.0000498548,0.9775127,0.007260294,0.009962995,0.00490829,0.00001044799],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01905091,0.0002230196,0.9743696,0.0002102463,0.0000550682,0.000138612,0.000428807,0.003456064,0.002067568],"genre_scores_gemma":[0.1665458,0.0001643672,0.827009,0.0001151403,0.00002737463,0.0002086629,0.002356632,0.0005348327,0.003038094],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009780832,"threshold_uncertainty_score":0.0194478,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01815302016986699,"score_gpt":0.2989604839171414,"score_spread":0.2808074637472744,"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."}}