{"id":"W1987683357","doi":"10.1145/2669594.2669599","title":"BadgerTrap","year":2014,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Advanced Micro Devices (Canada)","funders":"National Science Foundation","keywords":"Translation lookaside buffer; Computer science; x86; TRACE (psycholinguistics); Instrumentation (computer programming); Computer architecture; Operating system; Physical address; Software","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":[0.001711742,0.001993512,0.0009091998,0.002433741,0.0009192624,0.00325272,0.003347804,0.001889129,0.06001414],"category_scores_gemma":[0.007819647,0.00164314,0.00133857,0.001333381,0.001081737,0.005756747,0.00279357,0.002675924,0.02465259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008945352,"about_ca_system_score_gemma":0.002325175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002283983,"about_ca_topic_score_gemma":0.002848798,"domain_scores_codex":[0.9975927,0.0003161089,0.0001494813,0.0005132278,0.001133824,0.0002945389],"domain_scores_gemma":[0.9960456,0.001827197,0.0002693445,0.00109687,0.0006145556,0.000146319],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002008656,0.0002853597,0.006879367,0.001480842,0.0002119061,0.0008489,0.0006123174,0.03118918,0.01835392,0.0818399,0.3936702,0.4626193],"study_design_scores_gemma":[0.0004047712,0.0003424691,0.001751469,0.0003141401,0.0001224906,0.001147534,0.0001154533,0.1879013,0.08043996,0.07734158,0.6498105,0.000308336],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01295697,0.001486085,0.4644456,0.0008616191,0.0008803572,0.0002620662,0.009773849,0.4619205,0.04741294],"genre_scores_gemma":[0.2627981,0.002245196,0.5073462,0.002135517,0.0003360498,0.001095261,0.02687999,0.09895449,0.09820926],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06001414,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01164685640406961,"score_gpt":0.2461383071206598,"score_spread":0.2344914507165902,"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."}}