{"id":"W2037231037","doi":"10.1109/iccchina.2012.6356997","title":"Performance evaluation of three Network-on-Chip (NoC) architectures (Invited)","year":2012,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Computer science; Hypercube; Interconnection; Network on a chip; Scalability; Latency (audio); Grid network; System on a chip; Network topology; Microprocessor; Parallel computing; Computer network; Embedded system; Telecommunications","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":[0.001783103,0.0000980621,0.0001263586,0.00009819165,0.0000800776,0.00003092558,0.0003610483,0.00004422354,0.0000537587],"category_scores_gemma":[0.00002979982,0.0000725616,0.00005129068,0.0003496237,0.00001281266,0.0001364304,0.00008517565,0.00008244743,0.00007947708],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003237267,"about_ca_system_score_gemma":0.00001858858,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002405702,"about_ca_topic_score_gemma":0.00004356841,"domain_scores_codex":[0.9987043,0.0001099008,0.0002258564,0.0001673893,0.0004916177,0.000300964],"domain_scores_gemma":[0.999184,0.00008177415,0.00007540474,0.0004246839,0.0001438102,0.00009038756],"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":[0.00002946631,0.0001012164,0.05325818,0.00001932357,0.00004744248,1.719524e-7,0.001517135,0.553358,0.0002607237,0.05031965,0.02279152,0.3182971],"study_design_scores_gemma":[0.0001859441,0.0001762363,0.07925419,0.00005566794,0.000007195011,0.000009049099,0.00000870602,0.9164596,0.000992988,0.0008620887,0.001849272,0.0001390826],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7070487,0.00008151366,0.2679227,0.0003571041,0.001520383,0.000286052,2.596108e-7,0.0000717207,0.0227116],"genre_scores_gemma":[0.994737,8.740882e-7,0.003749322,0.000786039,0.0006097812,0.00002890899,5.374438e-7,0.000005664445,0.00008189892],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3631016,"threshold_uncertainty_score":0.2958976,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05176820587926124,"score_gpt":0.2688475064171885,"score_spread":0.2170793005379272,"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."}}