{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007250361,0.0006396546,0.0009440478,0.0007460119,0.001187908,0.002589406,0.003825777,0.0008479417,0.01101095],"category_scores_gemma":[0.002371842,0.0005757704,0.0006891159,0.00134212,0.0009691345,0.003444703,0.001991338,0.001781203,0.004798887],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007675158,"about_ca_system_score_gemma":0.001230315,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001627539,"about_ca_topic_score_gemma":0.002212544,"domain_scores_codex":[0.9989266,0.0001611395,0.00007753153,0.0002198205,0.000437564,0.0001774459],"domain_scores_gemma":[0.9971444,0.0003634634,0.000156639,0.001569217,0.0006174224,0.0001487884],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001503874,0.0005232373,0.00392306,0.0008014273,0.0001868523,0.0007575766,0.0008569613,0.03848457,0.1048382,0.2090234,0.08034988,0.558751],"study_design_scores_gemma":[0.0003927148,0.000735082,0.0009928852,0.0001700009,0.000239784,0.001944242,0.0002337004,0.2363426,0.1245407,0.07907466,0.5550803,0.0002532636],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.02838101,0.003119274,0.9127474,0.001186729,0.0008202881,0.0002130588,0.0004294931,0.01510115,0.03800161],"genre_scores_gemma":[0.4157265,0.001807384,0.5191342,0.001773809,0.0005718574,0.0004130673,0.001375343,0.002761579,0.05643627],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01101095,"threshold_uncertainty_score":0.03683525,"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."}}