{"id":"W2158373603","doi":"10.1109/mdt.2008.124","title":"A Quality-Driven Design Approach for NoCs","year":2008,"lang":"en","type":"article","venue":"IEEE Design & Test of Computers","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Debugging; Computer science; Computer architecture; Quality (philosophy); Test (biology); Embedded system; Software engineering; Design for testing; Reliability engineering; Engineering; Programming language; Testability","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":[0.0009556653,0.0002344173,0.0004726771,0.0001594272,0.0002094514,0.00007506731,0.00109566,0.0001135089,0.000001302394],"category_scores_gemma":[0.00006028674,0.000220729,0.0002140856,0.0003724702,0.00009524449,0.0003211257,0.00005963472,0.0001203635,0.000009673316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005548765,"about_ca_system_score_gemma":0.0001384486,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002108954,"about_ca_topic_score_gemma":3.537511e-7,"domain_scores_codex":[0.9977883,0.0003505639,0.0006210261,0.0005038705,0.000343455,0.0003927764],"domain_scores_gemma":[0.9968251,0.001838071,0.0003162695,0.0006205252,0.0002805413,0.0001195042],"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":[0.000118405,0.0007185335,0.0004741146,0.0001678152,0.0001730256,0.00003071575,0.003526832,0.8467993,0.009112637,0.01584419,0.114446,0.008588478],"study_design_scores_gemma":[0.0007466996,0.0006161033,0.0001940619,0.00004097752,0.00000606997,0.0001236063,0.00001512964,0.9925764,0.004132689,0.0004580472,0.0007964163,0.0002938384],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0006488616,0.00006065901,0.9966283,0.00008841422,0.00118631,0.0008409342,0.000003231127,0.0002116725,0.0003316042],"genre_scores_gemma":[0.4821622,0.000006255475,0.5172856,0.000192358,0.000194621,0.00006172361,0.00000149025,0.00001394682,0.00008181685],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4815134,"threshold_uncertainty_score":0.9001067,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.119459951914263,"score_gpt":0.2827301218498564,"score_spread":0.1632701699355934,"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."}}