{"id":"W2111106757","doi":"10.1016/j.dam.2008.01.014","title":"On routing in VLSI design and communication networks","year":2008,"lang":"en","type":"article","venue":"Discrete Applied Mathematics","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Guelph; Canadian Imperial Bank of Commerce (Canada); McMaster University","funders":"","keywords":"Very-large-scale integration; Routing (electronic design automation); Mathematics; Theoretical computer science; Arithmetic; Computer network; Computer science; Embedded system","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004916816,0.0001098746,0.0001740192,0.00005612165,0.0001577064,0.00006791617,0.0003289682,0.00006423678,0.000002525887],"category_scores_gemma":[0.00001686073,0.00009486828,0.00002176317,0.0001785339,0.00003598148,0.00009470691,0.0001174788,0.0001549659,0.00001151415],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002679752,"about_ca_system_score_gemma":0.000009198033,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006027927,"about_ca_topic_score_gemma":0.000003321303,"domain_scores_codex":[0.9991895,0.00004521561,0.0002829498,0.0001800238,0.0001248298,0.0001774746],"domain_scores_gemma":[0.9989923,0.000373142,0.0001118779,0.0004673114,0.00001715989,0.00003817656],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000004136261,0.00003353173,0.00001725196,0.00001204562,0.00000607908,0.00000334265,0.00365308,0.0207965,0.00004352572,0.9738572,0.0003801019,0.001193181],"study_design_scores_gemma":[0.0002219487,0.00002365436,0.00007046446,0.00007391432,0.000001677906,0.00002463107,0.0001625678,0.9807242,0.00007792922,0.0184643,0.00003315942,0.0001215541],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01417451,0.00003382397,0.9766383,0.00006907743,0.0000506485,0.0002731014,1.112923e-7,0.00007197616,0.008688502],"genre_scores_gemma":[0.8951622,0.00004222577,0.1045633,0.0001173882,0.00001976249,0.00003872972,0.000001223178,0.000009358072,0.00004583331],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9599277,"threshold_uncertainty_score":0.3868616,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02662654992573895,"score_gpt":0.2329380835113466,"score_spread":0.2063115335856077,"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."}}