{"id":"W2204974001","doi":"10.1007/978-1-4615-0849-6_14","title":"Reducing Indirect Mispredictions of Two-Stage Branch Predictors","year":2002,"lang":"en","type":"book-chapter","venue":"Kluwer international series in engineering and computer science","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"","keywords":"Branch predictor; Computer science; Cache; Parallel computing; Stage (stratigraphy); Scheme (mathematics); Mathematics","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0003827526,0.0002778234,0.0003067656,0.0008942473,0.00009892812,0.0002101484,0.001455786,0.0001099481,0.00002392168],"category_scores_gemma":[0.00003381958,0.0003003539,0.00006901068,0.0002824629,0.0002498033,0.0007160302,0.0007187893,0.0003298556,0.000002540659],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001229365,"about_ca_system_score_gemma":0.00007730623,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001670005,"about_ca_topic_score_gemma":0.00000151632,"domain_scores_codex":[0.9980082,0.000009526118,0.0004859613,0.0006457893,0.0005897258,0.0002607951],"domain_scores_gemma":[0.9989712,0.00006921143,0.0002037766,0.000453124,0.0002014942,0.0001012385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005831106,0.00005242705,0.0003667031,0.00009507159,0.00007738675,0.00002986995,0.00126778,0.4563299,0.0002072621,0.5206321,0.0005947855,0.02034088],"study_design_scores_gemma":[0.0001994172,0.00008396391,0.000390174,0.0005010474,0.000004838719,0.00006595963,9.356477e-7,0.984601,0.0007110222,0.001625772,0.01146743,0.0003484495],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.000742978,0.0002503606,0.9569221,0.0001347096,0.002121964,0.0001434328,0.00001761212,0.0004217284,0.03924513],"genre_scores_gemma":[0.4208238,0.001185269,0.5202886,0.0001429248,0.0007387295,0.00003096927,0.00002292571,0.00008170206,0.05668501],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5282711,"threshold_uncertainty_score":0.9999449,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01047658642688934,"score_gpt":0.2222836811448909,"score_spread":0.2118070947180016,"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."}}