{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001743409,0.0001050206,0.0001128816,0.00008910512,0.0001088412,0.0001810377,0.001511187,0.00004755734,0.00001229651],"category_scores_gemma":[0.0001220945,0.00009379094,0.00003499144,0.0002538587,0.00001565028,0.0003653439,0.0001418445,0.00008344732,0.00008691188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001099696,"about_ca_system_score_gemma":0.00002189646,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009486961,"about_ca_topic_score_gemma":0.000001352287,"domain_scores_codex":[0.9991606,0.00003890219,0.0001490646,0.0002614649,0.0001761172,0.0002138477],"domain_scores_gemma":[0.9990109,0.0001185744,0.00007842572,0.0006787027,0.00004631846,0.00006709918],"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":[0.00003076326,0.0004885583,0.002933775,0.00003298246,0.00005323381,0.0001585876,0.00341355,0.016086,0.002661703,0.2233522,0.0983362,0.6524525],"study_design_scores_gemma":[0.001303061,0.001187321,0.02770876,0.0001535127,0.00003159376,0.00007974727,0.00004599332,0.7374968,0.03989052,0.1183352,0.07205095,0.001716593],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01321145,0.0003140589,0.9520614,0.00466717,0.0002688032,0.0001208691,0.000001148504,0.00181866,0.02753647],"genre_scores_gemma":[0.7229937,0.00001497158,0.2753032,0.001371737,0.00006971753,0.00000129844,0.000002473834,0.000003047178,0.0002398275],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7214108,"threshold_uncertainty_score":0.3824684,"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."}}