{"id":"W2135300877","doi":"10.1109/fccm.2015.69","title":"Modular SRAM-Based Binary Content-Addressable Memories","year":2015,"lang":"en","type":"article","venue":"","topic":"Network Packet Processing and Optimization","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Parallel computing; Field-programmable gate array; Static random-access memory; Computer hardware; Embedded system; Content-addressable storage; Modular design; Content-addressable memory; Computer engineering; Artificial neural network; Artificial intelligence; Operating system","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":[],"consensus_categories":[],"category_scores_codex":[0.0002696295,0.00009891872,0.0001106242,0.00005638787,0.0000967687,0.0002383488,0.000426817,0.00004689631,0.00001402081],"category_scores_gemma":[0.00004501746,0.00008142272,0.00002761686,0.0003633194,0.00004174369,0.0005903234,0.00008669364,0.00006027083,0.00006496622],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002882559,"about_ca_system_score_gemma":0.0001441114,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002009214,"about_ca_topic_score_gemma":0.000003619425,"domain_scores_codex":[0.9991142,0.00004304476,0.000133278,0.0002484526,0.0002474803,0.0002135051],"domain_scores_gemma":[0.9991931,0.00002640366,0.00005098665,0.0003672313,0.00022859,0.0001336642],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005025406,0.0002963636,0.002981156,0.00004822439,0.00002869041,0.00005776572,0.0008642584,0.8558387,0.0005680661,0.05065319,0.06723509,0.02137832],"study_design_scores_gemma":[0.0004704111,0.00008101048,0.00007940727,0.00001666157,0.000003204206,0.000002923079,0.00005237929,0.9894075,0.003053927,0.002338077,0.004353715,0.0001408314],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.005724599,0.0003078047,0.9753814,0.001436337,0.0004805595,0.00007311807,3.801033e-7,0.0004402683,0.01615554],"genre_scores_gemma":[0.7462583,0.000003559003,0.2464955,0.001122843,0.00009705406,0.00001091639,0.000008935573,0.00001053887,0.005992358],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7405337,"threshold_uncertainty_score":0.3320322,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09955275623906377,"score_gpt":0.2553329699136858,"score_spread":0.155780213674622,"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."}}