{"id":"W1572833271","doi":"","title":"An Improved Direct Dimension Exchange Method for Load Balancing in k-ary n-cube Multicomputers.","year":2000,"lang":"en","type":"article","venue":"","topic":"Distributed and Parallel Computing Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cube (algebra); Dimension (graph theory); Parallel computing; Computer science; Load balancing (electrical power); Algorithm; Mathematics; Combinatorics; 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":[0.0004732253,0.0003827722,0.0004290522,0.0004079058,0.000441254,0.0003702095,0.0007493357,0.0005178343,0.002646823],"category_scores_gemma":[0.001102194,0.0002060714,0.0003940095,0.0004627827,0.0003664007,0.0008345215,0.0008014739,0.0006492093,0.0005488058],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003127598,"about_ca_system_score_gemma":0.0004263842,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009073218,"about_ca_topic_score_gemma":0.001748824,"domain_scores_codex":[0.9996843,0.00009126896,0.00001369787,0.00003218124,0.0001563498,0.00002220778],"domain_scores_gemma":[0.99968,0.0001360655,0.00001957828,0.00005648692,0.00008698442,0.000020914],"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":[0.0002674902,0.0001588143,0.001455093,0.0006302159,0.0001334795,0.0002169996,0.0003052865,0.3185638,0.0448215,0.06318095,0.01330635,0.55696],"study_design_scores_gemma":[0.00007511915,0.00008317875,0.000339796,0.00001890756,0.00001533197,0.0001345465,0.00003363537,0.9556641,0.009157381,0.01013201,0.02431977,0.00002620488],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01039477,0.0007371962,0.9815918,0.0002048081,0.0002115909,0.00006530016,0.00005206655,0.000375059,0.006367378],"genre_scores_gemma":[0.1736423,0.0005410622,0.8180844,0.0001612509,0.0001233908,0.0002614264,0.0001671141,0.0001408094,0.00687822],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002646823,"threshold_uncertainty_score":0.008854568,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01279274912151244,"score_gpt":0.2796944048440195,"score_spread":0.266901655722507,"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."}}