{"id":"W2758760487","doi":"10.1109/dsd.2017.22","title":"Optimal Placement of Heterogeneous Uncore Component in 3D Chip-Multiprocessors","year":2017,"lang":"en","type":"article","venue":"","topic":"Interconnection Networks and Systems","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Benchmark (surveying); Parallel computing; Computer science; Parsec; Component (thermodynamics); Energy consumption; Memory architecture; Chip; Embedded system; Engineering; Electrical engineering","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":[0.0002859158,0.00009651333,0.00017925,0.00005993414,0.0001177329,0.0001238873,0.0008301956,0.00004315011,0.00002165224],"category_scores_gemma":[0.0000210162,0.00007808508,0.000049521,0.0000434565,0.00003448269,0.000232518,0.0002578841,0.00006570877,0.00001586198],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003711277,"about_ca_system_score_gemma":0.00001952795,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003968508,"about_ca_topic_score_gemma":0.0001823203,"domain_scores_codex":[0.9990436,0.0000349091,0.0002992814,0.0002403105,0.000195925,0.000185933],"domain_scores_gemma":[0.9990761,0.00003267526,0.0001745827,0.0005936095,0.00007632913,0.00004673141],"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":[0.0001869018,0.0008235885,0.01976398,0.0001387099,0.0001344594,0.0001744028,0.006279494,0.9046012,0.001847591,0.03533215,0.001652418,0.0290651],"study_design_scores_gemma":[0.0007610941,0.0001733084,0.002058075,0.00008111068,0.000001974939,0.00003997514,0.0001198101,0.9904846,0.004049434,0.00004420827,0.002018557,0.0001678797],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6826362,0.0000713886,0.3060323,0.0003507959,0.0009646755,0.0002175657,0.00000122346,0.0000504947,0.009675397],"genre_scores_gemma":[0.9889992,0.00000621359,0.0105343,0.00009299126,0.00004622956,0.00001132454,6.137909e-7,0.000004304444,0.0003047686],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3063631,"threshold_uncertainty_score":0.3184217,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0249186404454472,"score_gpt":0.2650856447085929,"score_spread":0.2401670042631457,"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."}}