{"id":"W2952969041","doi":"10.48550/arxiv.1509.01190","title":"Advanced Multilevel Node Separator Algorithms","year":2015,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"VLSI and FPGA Design Techniques","field":"Engineering","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Iterated local search; Computer science; Graph; Graph partition; Algorithm; Iterated function; Separator (oil production); Theoretical computer science; Local search (optimization); Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0001360032,0.0004147986,0.0004080394,0.0002130661,0.00005195689,0.0000378337,0.0006189977,0.0004845013,0.00005158704],"category_scores_gemma":[0.00001793979,0.0005095486,0.0001698519,0.0002074155,0.00006165411,0.0001857569,0.0003631722,0.0006735548,0.0001880967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003668213,"about_ca_system_score_gemma":0.00008620734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003465436,"about_ca_topic_score_gemma":0.000007824234,"domain_scores_codex":[0.9987219,0.00003977047,0.0001916259,0.0005922841,0.00007830968,0.0003761323],"domain_scores_gemma":[0.99875,0.000032574,0.00007511868,0.0007569433,0.0001516547,0.0002337552],"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":[0.0000314557,0.00006323492,0.0003433391,0.0002275384,0.0001928632,0.0003913663,0.0002233848,0.9793832,0.0009690275,0.001671562,0.01078044,0.005722555],"study_design_scores_gemma":[0.0006173213,0.00003570264,0.0001813837,0.0001327719,0.0000945268,0.000004458746,0.00006579555,0.9775138,0.003486198,0.00995343,0.00700872,0.0009059002],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2163103,0.0005178463,0.7600068,0.00001007585,0.001217474,0.0006681074,0.0002346058,0.003613108,0.01742163],"genre_scores_gemma":[0.9925731,0.0003559745,0.005315853,0.00002723202,0.0001206565,0.000004137969,0.00005713471,0.00008133453,0.001464553],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7762628,"threshold_uncertainty_score":0.9997356,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07977483864723559,"score_gpt":0.1976825042130528,"score_spread":0.1179076655658172,"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."}}