{"id":"W4254630438","doi":"10.1145/1508284.1508281","title":"Phantom-BTB","year":2009,"lang":"en","type":"article","venue":"ACM SIGPLAN Notices","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Computer science; Cache; Granularity; Working set; Overhead (engineering); Random access; Parallel computing; Table (database); Embedded system; Operating system; Database","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":[0.0003725125,0.0006619094,0.0006368625,0.00074733,0.0005010651,0.00128825,0.002620173,0.00072061,0.01942731],"category_scores_gemma":[0.001633524,0.000689148,0.0004722533,0.001000782,0.000564492,0.002115888,0.001481024,0.0008728535,0.00588622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001070631,"about_ca_system_score_gemma":0.001406312,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001928301,"about_ca_topic_score_gemma":0.002338719,"domain_scores_codex":[0.9994024,0.00007596282,0.0000392143,0.0001275391,0.0002449408,0.0001099787],"domain_scores_gemma":[0.9985816,0.0001533003,0.0001277905,0.000530265,0.0004701861,0.000136798],"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":[0.004277039,0.0004993984,0.005203089,0.00113334,0.0002014051,0.0007986146,0.0003661043,0.05559044,0.302321,0.04898718,0.147183,0.4334395],"study_design_scores_gemma":[0.0005384676,0.00364942,0.004733517,0.000144562,0.0001888606,0.002356132,0.00009690453,0.3446191,0.2160142,0.02285951,0.4045365,0.0002628344],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.129521,0.003598977,0.723164,0.001163692,0.001231916,0.000510593,0.00346189,0.06847849,0.06886949],"genre_scores_gemma":[0.6428048,0.0008290297,0.2843305,0.001819304,0.0002266993,0.0005621309,0.006524111,0.002992113,0.0599112],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01942731,"threshold_uncertainty_score":0.06499082,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02125320697834554,"score_gpt":0.279224391819006,"score_spread":0.2579711848406605,"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."}}