{"id":"W1999690811","doi":"10.1145/1723112.1723188","title":"Design and evaluation of a parameterizable NoC router for FPGAs (abstract only)","year":2010,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Windsor","funders":"","keywords":"Router; Scalability; Computer science; Network on a chip; Embedded system; Computer architecture; Routing (electronic design automation); Field-programmable gate array; One-armed router; Computer network; Core router; Interconnection; Overhead (engineering); Operating 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":[0.001532483,0.00005908412,0.00009880157,0.00004160524,0.00004253514,0.00009003577,0.0001516603,0.0000535401,0.00004456419],"category_scores_gemma":[0.00003905149,0.00004596221,0.00003093546,0.00006178101,0.00001395963,0.0002607205,0.00002629001,0.0000494037,0.000003778555],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000006980769,"about_ca_system_score_gemma":0.00004880754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003786453,"about_ca_topic_score_gemma":0.00003039501,"domain_scores_codex":[0.999333,0.00004489216,0.0001786646,0.0001744419,0.0001603963,0.0001086381],"domain_scores_gemma":[0.9992802,0.0001659305,0.00007447658,0.0002181167,0.0002293142,0.0000320236],"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":[0.00009553503,0.0002823205,0.0007566337,0.000131583,0.0001404683,0.000001608622,0.002476305,0.0182651,0.1940256,0.2144286,0.01193166,0.5574646],"study_design_scores_gemma":[0.0003466562,0.00009405394,0.0005799943,0.000009949701,0.000007566857,0.00001468876,0.00001016845,0.9858967,0.008617448,0.003445122,0.0009078018,0.00006985291],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1735107,0.000008950297,0.8241001,0.0001108848,0.0005744306,0.000373821,3.898628e-7,0.00002385125,0.001296819],"genre_scores_gemma":[0.8837615,6.305206e-7,0.1158262,0.00005807034,0.00005237737,0.00003923092,5.722086e-7,0.000003286921,0.0002581081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9676316,"threshold_uncertainty_score":0.1874284,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06061988649752157,"score_gpt":0.3011051877652461,"score_spread":0.2404853012677246,"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."}}