{"id":"W2065289416","doi":"10.4108/icst.simutools.2014.254626","title":"Power and Chip-Area Aware Network-on-Chip Modeling for System on Chip Simulation","year":2014,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Chip; Network on a chip; System on a chip; Computer science; Embedded system; Power (physics); Power network design; Computer architecture; 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":[0.0006606739,0.0001840035,0.0002367536,0.00007928579,0.0002989683,0.0002546831,0.0002561889,0.0001106037,0.000006450462],"category_scores_gemma":[0.0000273896,0.0001425279,0.00008911214,0.0001350756,0.000008422629,0.0001953919,0.00005887232,0.0001042522,0.00002117743],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004648842,"about_ca_system_score_gemma":0.00001117472,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001837622,"about_ca_topic_score_gemma":0.00001456199,"domain_scores_codex":[0.998589,0.00009996397,0.0003258485,0.0004617952,0.0002024861,0.0003209194],"domain_scores_gemma":[0.9989006,0.0003635105,0.00009609898,0.0004307232,0.0001131036,0.00009598803],"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":[0.00001966016,0.000009991778,0.0000692668,0.00002240073,0.00001016383,3.217264e-7,0.0001291605,0.8477906,0.000002653026,0.1500288,0.000614767,0.001302221],"study_design_scores_gemma":[0.000368988,0.0002750937,0.00004913342,0.0001968028,0.000003331512,0.000005909294,0.000051139,0.9966504,0.000009978516,0.00114462,0.001063209,0.0001814042],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04038205,0.0000210658,0.9466631,0.0001684476,0.001582926,0.0003821109,0.000001255378,0.0002532298,0.01054586],"genre_scores_gemma":[0.9971403,7.264805e-7,0.001277165,0.0005347937,0.0006317827,0.0000311718,0.000003487058,0.00001722113,0.0003633747],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9567583,"threshold_uncertainty_score":0.5812119,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02800152983046011,"score_gpt":0.2494488426114552,"score_spread":0.2214473127809951,"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."}}