{"id":"W2077147377","doi":"10.1109/parcomptech.2013.6621394","title":"Load balancing strategies for SPH","year":2013,"lang":"en","type":"article","venue":"","topic":"Fluid Dynamics Simulations and Interactions","field":"Engineering","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Load balancing (electrical power); Computer science; Graph partition; Parallel computing; Graph; Mathematical optimization; Algorithm; Theoretical computer science; Mathematics; Geometry","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":[0.0006381603,0.0006535305,0.0006882882,0.0008101294,0.0009100699,0.0009446469,0.001057839,0.000716876,0.004299972],"category_scores_gemma":[0.00280109,0.0002652599,0.0002884117,0.000681512,0.0005505783,0.000802285,0.0008348798,0.0003927435,0.0009133688],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006999066,"about_ca_system_score_gemma":0.0006868974,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003393874,"about_ca_topic_score_gemma":0.00263591,"domain_scores_codex":[0.9996375,0.0000837797,0.00002106638,0.00004244566,0.0001630905,0.00005200278],"domain_scores_gemma":[0.9992201,0.0003052488,0.00007627444,0.0001256454,0.0002028594,0.0000698438],"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":[0.0005538033,0.0003054586,0.00351276,0.0002550777,0.00007584024,0.0001254031,0.000229255,0.7974458,0.0306442,0.01962163,0.005282045,0.1419488],"study_design_scores_gemma":[0.00009796004,0.00009896987,0.0004770193,0.000009608973,0.00001324422,0.00002989208,0.00005541994,0.9839844,0.008393195,0.004072572,0.002755757,0.00001186715],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3401297,0.001088773,0.6008117,0.000971665,0.0003446571,0.0003708717,0.0005009049,0.005586557,0.05019512],"genre_scores_gemma":[0.8610573,0.0002548237,0.134247,0.0001228437,0.00005940039,0.0001924637,0.0003567396,0.0003645404,0.003344806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004299972,"threshold_uncertainty_score":0.01438481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007306175383336688,"score_gpt":0.2221903234488317,"score_spread":0.214884148065495,"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."}}