{"id":"W1885945138","doi":"10.1109/async.1999.761532","title":"A fast, asP*, RGD arbiter","year":2003,"lang":"en","type":"article","venue":"","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Arbiter; Spice; Throughput; Latency (audio); Computer science; CMOS; Computer architecture; Embedded system; Electronic engineering; Computer hardware; Engineering; Operating system; Telecommunications","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":[0.0002195599,0.0002774913,0.0002805735,0.0002505176,0.0005573948,0.0006087503,0.001085086,0.0003908055,0.004348571],"category_scores_gemma":[0.0004083877,0.0002048662,0.0001803158,0.0001881313,0.000299875,0.0006125345,0.0004040664,0.0003789297,0.001491544],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005432607,"about_ca_system_score_gemma":0.0007477069,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001314829,"about_ca_topic_score_gemma":0.002892937,"domain_scores_codex":[0.9997328,0.00003528137,0.00001707854,0.00005607547,0.0001035396,0.0000552622],"domain_scores_gemma":[0.9997256,0.0000699843,0.00004128487,0.00003931878,0.00009988591,0.00002390062],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0008971484,0.0001460972,0.001321399,0.0005282414,0.00005465237,0.0005481259,0.0001885002,0.03203108,0.6127061,0.02712885,0.01264994,0.3117999],"study_design_scores_gemma":[0.0002573494,0.001967962,0.001761209,0.00006251624,0.0001658185,0.001624266,0.0000914877,0.4045442,0.4905239,0.006018817,0.09286103,0.0001214354],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1659106,0.001497791,0.7839919,0.0008831885,0.0004163127,0.0002757499,0.0003814214,0.008422403,0.03822061],"genre_scores_gemma":[0.7716992,0.00028023,0.209978,0.0003517768,0.00009865786,0.00009437642,0.0001528263,0.0001390376,0.01720594],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.004348571,"threshold_uncertainty_score":0.01454741,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01345479107633966,"score_gpt":0.2437714283328269,"score_spread":0.2303166372564873,"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."}}