{"id":"W4255368951","doi":"10.1007/978-0-387-39940-9_3880","title":"Translation Lookaside Buffer (TLB)","year":2009,"lang":"en","type":"book-chapter","venue":"Encyclopedia of Database Systems","topic":"Diverse Scientific and Economic Studies","field":"Economics, Econometrics and Finance","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Translation lookaside buffer; Buffer (optical fiber); Computer science; Operating system; Physical address; Semiconductor memory","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001885471,0.001583789,0.001494282,0.002488445,0.001054403,0.007069537,0.00398703,0.001682231,0.2468887],"category_scores_gemma":[0.0140133,0.00123348,0.001142746,0.004634817,0.0008255131,0.00708547,0.004601183,0.002190931,0.1805998],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001068122,"about_ca_system_score_gemma":0.002428353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002744532,"about_ca_topic_score_gemma":0.002032887,"domain_scores_codex":[0.9982598,0.0003712906,0.000254846,0.0003832068,0.0004737918,0.0002570087],"domain_scores_gemma":[0.9939362,0.001435674,0.0003177321,0.002558702,0.001450643,0.0003010018],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001454177,0.0001317658,0.000581532,0.0008877584,0.00005421257,0.0002083471,0.0003686835,0.001274912,0.005652939,0.05330946,0.5810174,0.3550588],"study_design_scores_gemma":[0.0003464176,0.0001677911,0.0003262051,0.0003078713,0.0001034605,0.0004217573,0.0002141551,0.01084242,0.0328703,0.06776081,0.8865142,0.0001246495],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.007315502,0.003379479,0.4799386,0.0027338,0.002738791,0.0007353844,0.05258674,0.3240335,0.1265382],"genre_scores_gemma":[0.1103391,0.002783096,0.456083,0.004497359,0.001029193,0.001146186,0.09518453,0.07944257,0.2494949],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.2468887,"threshold_uncertainty_score":0.8259249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0467933993946524,"score_gpt":0.210907017054779,"score_spread":0.1641136176601266,"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."}}