{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008273424,0.0008380809,0.00110584,0.001584336,0.0006199193,0.001280104,0.002194258,0.001227859,0.00995844],"category_scores_gemma":[0.004194481,0.0004445189,0.001081791,0.001488275,0.0005591915,0.002043259,0.002439962,0.001554017,0.002219653],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009663044,"about_ca_system_score_gemma":0.001168388,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002982915,"about_ca_topic_score_gemma":0.005581,"domain_scores_codex":[0.9992367,0.0001423763,0.00005553479,0.0001771219,0.0002826984,0.0001055875],"domain_scores_gemma":[0.998408,0.0005964719,0.0001725793,0.0003929946,0.000345961,0.00008395186],"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":[0.0003135299,0.0001546628,0.001344061,0.0003743636,0.0001173247,0.0001119622,0.0002918851,0.4723225,0.01417686,0.05112369,0.01103633,0.4486328],"study_design_scores_gemma":[0.00004541815,0.00006320605,0.0001665118,0.00002496325,0.00001831328,0.00004876496,0.00003179382,0.9731426,0.003554386,0.01838341,0.004509273,0.0000113012],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01416447,0.000310428,0.97983,0.0001447019,0.00003731442,0.0000815556,0.0001971406,0.001355574,0.00387882],"genre_scores_gemma":[0.180321,0.0002445244,0.8115898,0.0001562859,0.00005368298,0.0002674457,0.0007961784,0.0004103034,0.00616083],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.00995844,"threshold_uncertainty_score":0.03331435,"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."}}