{"id":"W2068876600","doi":"10.1145/1723028.1723056","title":"Cache line reservation","year":2009,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"IBM (Canada); McGill University","funders":"McGill University; International Business Machines Corporation","keywords":"Computer science; Cache; Compiler; Operating system; Java; Reservation; Parallel computing; Cache algorithms; IBM; Cache pollution; Just-in-time compilation; Overhead (engineering); Cache invalidation; Optimizing compiler; CPU cache; Programming language; Computer network","routes":{"ca_aff":true,"ca_fund":true,"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":[0.0001473833,0.00004005079,0.00004428547,0.00004681402,0.00004844816,0.00006227149,0.0003350952,0.00002457415,0.000006981172],"category_scores_gemma":[0.00002606467,0.00003394769,0.00001565185,0.0002345874,0.000003816145,0.0002074701,0.00003574007,0.00004021393,0.00001984024],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000009105189,"about_ca_system_score_gemma":0.0000126578,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006388261,"about_ca_topic_score_gemma":6.05414e-7,"domain_scores_codex":[0.9995961,0.00001831349,0.00008884098,0.0001232544,0.00008912124,0.00008433142],"domain_scores_gemma":[0.9996388,0.00001425666,0.00002419394,0.0002414921,0.00005529043,0.0000259958],"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":[0.000003029381,0.00009846463,0.0002876218,0.000001954295,0.000003379428,0.000004419061,0.0002442453,0.01404562,0.0007823952,0.7599176,0.06350564,0.1611056],"study_design_scores_gemma":[0.00008899362,0.0001015997,0.002380945,0.00000445409,4.939467e-7,0.000002889721,0.000001155706,0.9567825,0.005910367,0.02840783,0.006226523,0.00009230164],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0007956849,0.00002112574,0.9594404,0.005457982,0.00003173138,0.00003514086,3.395441e-8,0.0008302902,0.03338764],"genre_scores_gemma":[0.4312837,0.000007145101,0.565109,0.001843609,0.00002714396,7.05536e-7,0.000001159956,0.00000103859,0.00172652],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9427368,"threshold_uncertainty_score":0.1384347,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0311198699888411,"score_gpt":0.2875333064443132,"score_spread":0.2564134364554721,"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."}}