{"id":"W4236156201","doi":"10.1145/885651.781030","title":"A framework for modeling and optimization of prescient instruction prefetch","year":2003,"lang":"en","type":"article","venue":"ACM SIGMETRICS Performance Evaluation Review","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Instruction prefetch; Computer science; Spawn (biology); Parallel computing; Thread (computing); Cache; Multithreading; Heuristics; Distributed computing; Operating system","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":[0.001656016,0.001223584,0.001144389,0.001169244,0.0005708835,0.001490914,0.002681965,0.001261773,0.001980869],"category_scores_gemma":[0.003626388,0.0009220053,0.001228899,0.001387755,0.001327101,0.002309817,0.0008581754,0.002289507,0.0006111318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002098664,"about_ca_system_score_gemma":0.003006027,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01277307,"about_ca_topic_score_gemma":0.009668764,"domain_scores_codex":[0.9990459,0.0002849422,0.00004976236,0.0001433553,0.0003891995,0.00008680157],"domain_scores_gemma":[0.9986935,0.0006687368,0.0001546408,0.0001976917,0.0002467668,0.00003857271],"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":[0.0000106205,0.00002767833,0.0002974941,0.00005849956,0.00002439483,0.00003125557,0.0000345182,0.9072151,0.0008102372,0.07969864,0.0007922901,0.01099927],"study_design_scores_gemma":[0.000003576127,0.00001250776,0.00006373718,0.00001262774,0.000006924991,0.00001246066,0.000007333847,0.9735291,0.000246121,0.02333897,0.002760235,0.000006384519],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002021929,0.0005629331,0.9944998,0.0002452394,0.00002337908,0.00005025806,0.0001307968,0.0003108417,0.002154788],"genre_scores_gemma":[0.1875412,0.003670557,0.8004538,0.0002179959,0.0001695152,0.0008307065,0.0006520493,0.0003589397,0.006105176],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01277307,"threshold_uncertainty_score":0.02539742,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09339457510125627,"score_gpt":0.3543818088721181,"score_spread":0.2609872337708619,"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."}}