{"id":"W4233372895","doi":"10.1145/2528521.1508281","title":"Phantom-BTB","year":2009,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Cache; Granularity; Overhead (engineering); Random access; Working set; Parallel computing; Table (database); CPU cache; Embedded system; Operating system; Database","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":[0.0003147053,0.0003546131,0.0003473541,0.0003658418,0.0002453018,0.00035514,0.0037587,0.0001193696,0.00001226629],"category_scores_gemma":[0.00008904094,0.0003105684,0.0001776128,0.0007404599,0.00005660024,0.0002778065,0.0008934445,0.000478467,0.00006306778],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004268625,"about_ca_system_score_gemma":0.00008746325,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001746774,"about_ca_topic_score_gemma":0.000004551684,"domain_scores_codex":[0.9974089,0.000208203,0.0004037781,0.000819949,0.0005051446,0.000653971],"domain_scores_gemma":[0.9972808,0.0002774686,0.0001294442,0.001938408,0.0001202532,0.0002536422],"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":[0.0000094084,0.0001098807,0.0001124309,0.000006924631,0.00001863736,0.00004376053,0.001020154,0.01516566,0.0004438671,0.009086522,0.01948432,0.9544984],"study_design_scores_gemma":[0.001809601,0.001982938,0.006866424,0.0001629817,0.00001880009,0.0004887465,0.000005492693,0.5293034,0.007896819,0.3018584,0.1479253,0.00168109],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002034769,0.0001491005,0.9810084,0.01038976,0.0003661014,0.0002939634,0.00000109703,0.001985815,0.003770978],"genre_scores_gemma":[0.1828818,0.00002661737,0.8088094,0.007565196,0.0005332393,0.000008255493,0.000007016007,0.00001563373,0.000152847],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9528173,"threshold_uncertainty_score":0.9999346,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01341131397458538,"score_gpt":0.2656065375942448,"score_spread":0.2521952236196594,"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."}}