{"id":"W2116394526","doi":"10.1145/2541228.2555307","title":"WADE","year":2013,"lang":"en","type":"article","venue":"ACM Transactions on Architecture and Code Optimization","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"Division of Computing and Communication Foundations; National Science Foundation","keywords":"Computer science; Cache; Cache-only memory architecture; Embedded system; Dram; Static random-access memory; Overhead (engineering); Non-volatile memory; Cache pollution; CPU cache; Latency (audio); Operating system; Microprocessor; Parallel computing; Cache coloring; Cache algorithms; Computer hardware; 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":[0.0000671279,0.0001413272,0.0001097449,0.0001858005,0.0002561249,0.0001889586,0.0004369581,0.00007508512,0.00007553627],"category_scores_gemma":[0.00001829754,0.000125025,0.00004206728,0.000315887,0.00003518455,0.0002854055,0.00001850364,0.0001747911,0.00002266785],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001416755,"about_ca_system_score_gemma":0.00001887433,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001723934,"about_ca_topic_score_gemma":0.000004402655,"domain_scores_codex":[0.9991475,0.00005652506,0.0001631568,0.0003151202,0.0001409463,0.000176801],"domain_scores_gemma":[0.999199,0.00008389081,0.00004926586,0.0005116059,0.00006853393,0.00008771837],"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":[0.000002534195,0.00003237183,0.000004946755,0.000003697392,0.000008069081,4.150411e-7,0.0002303695,0.826876,0.00004155238,0.0005168783,0.000170884,0.1721123],"study_design_scores_gemma":[0.0002458497,0.0001202674,0.0001152629,0.00001969922,0.000007297029,0.00002434089,0.0000104381,0.9875947,0.001430128,0.008947896,0.001269246,0.0002149269],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000276096,0.00004250682,0.9931117,0.004425646,0.0000768894,0.0002237016,0.000002500057,0.0005831036,0.001257829],"genre_scores_gemma":[0.1610179,0.0001223123,0.8373142,0.001010719,0.00001803136,0.00005351356,0.000004968507,0.00001215528,0.0004462196],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1718974,"threshold_uncertainty_score":0.509837,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01010564444179788,"score_gpt":0.2271792354810427,"score_spread":0.2170735910392449,"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."}}