{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0004730195,0.0003136816,0.0003216856,0.0003075679,0.0002346319,0.0003082806,0.00353054,0.0001110754,0.00001269133],"category_scores_gemma":[0.0001606304,0.0002721503,0.0001613627,0.0005503825,0.00007699434,0.0001976675,0.001497038,0.0004321945,0.00008355309],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002404345,"about_ca_system_score_gemma":0.00005662167,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002677327,"about_ca_topic_score_gemma":0.00000870154,"domain_scores_codex":[0.9975057,0.000343428,0.0003643325,0.0007741713,0.0004402722,0.0005721125],"domain_scores_gemma":[0.9968458,0.0006142037,0.0001160398,0.002078191,0.0001081235,0.0002376679],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000005915469,0.00006552106,0.0003959157,0.00001767505,0.00002448649,0.000008968606,0.0007262579,0.02514778,0.0002239479,0.02307514,0.0190277,0.9312807],"study_design_scores_gemma":[0.0007090213,0.0005304807,0.001948579,0.00006103255,0.000007330404,0.0001248625,0.000001473945,0.6645515,0.00207631,0.1066383,0.2226423,0.000708862],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001381283,0.00004787886,0.986119,0.004994854,0.0004991878,0.0002158832,6.540319e-7,0.001710947,0.005030331],"genre_scores_gemma":[0.1178577,0.0000105402,0.8765405,0.004747283,0.0006052017,0.00001737119,0.000006146636,0.00002462374,0.0001906256],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9305719,"threshold_uncertainty_score":0.9999731,"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."}}