{"id":"W2259449798","doi":"10.1007/s11432-014-5248-8","title":"Reliability-aware mapping for various NoC topologies and routing algorithms under performance constraints","year":2015,"lang":"en","type":"article","venue":"Science China Information Sciences","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Reliability (semiconductor); Network topology; Network on a chip; Routing (electronic design automation); Flexibility (engineering); Latency (audio); Algorithm; Distributed computing; Parallel computing; Embedded system; Computer network; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008040802,0.0004801935,0.0003015921,0.0005639733,0.000435038,0.0004321268,0.0006612647,0.0003356401,0.001717627],"category_scores_gemma":[0.003418239,0.0002041922,0.0002876801,0.0006411118,0.0001761129,0.0008205073,0.0003262634,0.0003534231,0.00009582889],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005737845,"about_ca_system_score_gemma":0.001004184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001521461,"about_ca_topic_score_gemma":0.00344692,"domain_scores_codex":[0.9997156,0.0001209717,0.00001276159,0.00003500787,0.00006445772,0.00005112142],"domain_scores_gemma":[0.9983999,0.0009780022,0.0001512383,0.0001376007,0.0002947423,0.00003848535],"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":[0.00017713,0.00006661482,0.000893914,0.0001516511,0.00002662242,0.00006481689,0.00007830012,0.9222447,0.008216443,0.005374388,0.0008566512,0.06184872],"study_design_scores_gemma":[0.000008375705,0.00006448243,0.0005112028,0.000008161148,0.0000238129,0.00003330773,0.00004368092,0.9938098,0.002730983,0.002484892,0.0002765734,0.000004718318],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6450124,0.001758496,0.3384446,0.0004724374,0.00008668025,0.0001071778,0.0002241717,0.0007002821,0.01319374],"genre_scores_gemma":[0.9537412,0.0002268658,0.04470818,0.00002817278,0.00001125038,0.00003787097,0.0000896008,0.00006055448,0.001096225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001717627,"threshold_uncertainty_score":0.005746007,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04909871482446594,"score_gpt":0.2874868113870192,"score_spread":0.2383880965625533,"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."}}