{"id":"W3168334689","doi":"10.1186/s42774-021-00074-x","title":"A new multi-level algorithm for balanced partition problem on large scale directed graphs","year":2021,"lang":"en","type":"article","venue":"Advances in Aerodynamics","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"China Aerodynamics Research and Development Center; National Natural Science Foundation of China","keywords":"Graph partition; Partition (number theory); Partition problem; Cluster analysis; Computer science; Algorithm; Frequency partition of a graph; Theoretical computer science; Graph; Mathematics; Mathematical optimization; Combinatorics; Line graph; Artificial intelligence","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009929512,0.0001735335,0.0002147053,0.00008093576,0.0000426626,0.00002233718,0.0001043155,0.0001055418,0.0000107201],"category_scores_gemma":[0.00002356262,0.0001882957,0.00006642861,0.0003452362,0.00001306264,0.0002402809,0.00001731041,0.0001557107,0.000004812108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000915256,"about_ca_system_score_gemma":0.00002177451,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003529635,"about_ca_topic_score_gemma":0.0008081854,"domain_scores_codex":[0.999045,0.00002110159,0.0002374183,0.0002576117,0.0001052469,0.0003335815],"domain_scores_gemma":[0.9995835,0.00006227996,0.00003374204,0.0002035521,0.0000559153,0.00006104149],"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":[0.00001838718,0.0002104758,0.0008107787,0.0001727117,0.00002782213,0.0000196236,0.0002348721,0.01093578,0.006511834,0.002900675,0.000671984,0.9774851],"study_design_scores_gemma":[0.00161734,0.0000916269,0.001826197,0.0002398064,0.00001400875,0.000006210676,0.0000586723,0.9595019,0.01291065,0.01301705,0.0102606,0.000455983],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002480574,0.00119058,0.9939468,0.00002342737,0.000292914,0.0003797839,0.0001895841,0.000763038,0.0007333297],"genre_scores_gemma":[0.0674543,0.00244401,0.9290613,0.00007259395,0.00005652824,0.0002371331,0.0002806856,0.00006236019,0.0003311055],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9770291,"threshold_uncertainty_score":0.7678475,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01061839084514736,"score_gpt":0.2563474883941447,"score_spread":0.2457290975489973,"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."}}