{"id":"W4232361088","doi":"10.1145/2508148.2485946","title":"STREX","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada; Georgia Institute of Technology; Division of Information and Intelligent Systems; Alfred P. Sloan Foundation; European Social Fund; Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung; National Science Foundation","keywords":"Computer science; Online transaction processing; Cache; Thrashing; Operating system; Exploit; Thread (computing); Parallel computing; Database transaction; Embedded system; Transaction processing; Database; Computer security","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":[0.0006890384,0.001158962,0.0005917188,0.001396737,0.0009929693,0.00251841,0.001903297,0.001409885,0.4094083],"category_scores_gemma":[0.002059546,0.0005601154,0.0004281066,0.001125907,0.0003628434,0.002256224,0.002620031,0.001301883,0.312145],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005767503,"about_ca_system_score_gemma":0.001014411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001064326,"about_ca_topic_score_gemma":0.001590559,"domain_scores_codex":[0.9992926,0.0000744246,0.00004240521,0.0001477295,0.0003487717,0.00009401585],"domain_scores_gemma":[0.9986547,0.0001469584,0.00006971412,0.0004417976,0.0004940425,0.0001926814],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005296837,0.0001891828,0.001345198,0.0003557899,0.00002808335,0.00029144,0.0001587644,0.001333926,0.01786022,0.01784166,0.5355135,0.4245526],"study_design_scores_gemma":[0.00005442663,0.0001119279,0.0009289511,0.00004891551,0.000009828203,0.0002565408,0.00004362064,0.004360022,0.00706731,0.003455745,0.9836386,0.00002412938],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01083649,0.001379164,0.1107112,0.002243526,0.002518087,0.0007748672,0.01067888,0.1098044,0.7510533],"genre_scores_gemma":[0.05666669,0.001194794,0.06054109,0.001809917,0.0006047881,0.0004791382,0.02673568,0.01057548,0.8413924],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.4094083,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01188884714481681,"score_gpt":0.2417760334551012,"score_spread":0.2298871863102843,"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."}}