{"id":"W4230458348","doi":"10.32920/ryerson.14654766","title":"Power and chip-area aware network-on-chip simulation","year":2021,"lang":"en","type":"preprint","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"SystemC; MPSoC; Network on a chip; Computer science; Embedded system; Computer architecture; System on a chip; Chip; Code (set theory); Power (physics); Power network design; Design flow; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002914173,0.0004572726,0.0004356067,0.0003810432,0.0002986581,0.0005178055,0.000942536,0.0006542625,0.003243417],"category_scores_gemma":[0.00135292,0.0003086651,0.0004725329,0.0005346959,0.0003262466,0.0006010781,0.0004129737,0.0005428109,0.0003679563],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006511062,"about_ca_system_score_gemma":0.0008647161,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005609278,"about_ca_topic_score_gemma":0.004991592,"domain_scores_codex":[0.9997525,0.00008553112,0.00000917821,0.00003059483,0.00008939732,0.00003286395],"domain_scores_gemma":[0.9995282,0.0002789187,0.00003082187,0.00005671518,0.0000911586,0.00001425125],"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":[0.000006353801,0.000008027271,0.0001547989,0.00001782486,0.000005826518,0.00001047413,0.000007334622,0.993682,0.0006719251,0.003107811,0.0002598185,0.002067778],"study_design_scores_gemma":[0.000002241761,0.000005163773,0.00004655164,0.000001874706,0.00000220822,0.000003413296,0.000001909072,0.9979922,0.0004340946,0.0008092409,0.0006996837,0.000001434176],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1111052,0.0009304389,0.8433321,0.0005070421,0.0001513434,0.0001816831,0.001117148,0.001775037,0.04090008],"genre_scores_gemma":[0.7965691,0.001181801,0.1856484,0.000198216,0.00004594978,0.0005272937,0.0008917135,0.0003510033,0.01458648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005609278,"threshold_uncertainty_score":0.01115322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02606783814072352,"score_gpt":0.2600975291103718,"score_spread":0.2340296909696482,"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."}}