{"id":"W1585628008","doi":"10.1007/978-3-540-45234-8_63","title":"The Bank Nth Chance Replacement Policy for FPGA-Based CAMs","year":2003,"lang":"en","type":"book-chapter","venue":"Lecture notes in computer science","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"","keywords":"Computer science; Cache; Cache algorithms; Page cache; CPU cache; Field-programmable gate array; Smart Cache; Embedded system; Content-addressable memory; Parallel computing","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":[0.001454847,0.0004653831,0.0003565037,0.0004115748,0.0009656941,0.001022909,0.002738665,0.0002276691,0.000003003278],"category_scores_gemma":[0.000201343,0.0003494921,0.0001255914,0.0008300951,0.0005662186,0.0003213166,0.0003548575,0.0004326986,0.000007908327],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004180664,"about_ca_system_score_gemma":0.001217067,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000009353234,"about_ca_topic_score_gemma":0.0000477332,"domain_scores_codex":[0.9965208,0.00004391466,0.000475756,0.00135143,0.000780071,0.0008280228],"domain_scores_gemma":[0.9968827,0.0007108127,0.0004009388,0.001492225,0.0003729521,0.0001403638],"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":[0.00001699078,0.00001945944,0.000005406251,0.00004208824,0.00000789391,0.000004524935,0.0002207186,0.2462932,0.000007428102,0.03020256,0.0003688452,0.7228109],"study_design_scores_gemma":[0.000358793,0.0002115232,0.000003313012,0.0002789008,0.000005843545,0.0000120404,8.548071e-8,0.8779075,0.001154895,0.09175557,0.02784025,0.0004712476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00000348375,0.0009048637,0.9887743,0.005772629,0.001859873,0.000618987,0.000003417316,0.0001330697,0.001929382],"genre_scores_gemma":[0.01295768,0.0001892209,0.9703842,0.01201209,0.001417876,0.00010091,0.00001349661,0.0000740868,0.002850419],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7223397,"threshold_uncertainty_score":0.9998957,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0143469946442722,"score_gpt":0.2561151058588997,"score_spread":0.2417681112146275,"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."}}