{"id":"W4241403285","doi":"10.1145/2508148.2485969","title":"Protozoa","year":2013,"lang":"en","type":"article","venue":"ACM SIGARCH Computer Architecture News","topic":"Parallel Computing and Optimization Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Division of Computer and Network Systems; Natural Sciences and Engineering Research Council of Canada; Ministère de l'Économie, de la Science et de l'Innovation - Québec; Division of Computing and Communication Foundations; CMC Microsystems","keywords":"Computer science; Granularity; Cache coherence; Cache; Scalability; Bus sniffing; MESI protocol; Locality of reference; Metadata; Distributed computing; Parallel computing; CPU cache; Cache algorithms; Database; Operating system","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003674242,0.0009547831,0.0007185435,0.001015317,0.002152123,0.002100344,0.001258662,0.001582391,0.0137267],"category_scores_gemma":[0.001029469,0.0005482412,0.0009487021,0.0007964839,0.0008230833,0.001728808,0.001610118,0.002071352,0.009252365],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001137478,"about_ca_system_score_gemma":0.000925529,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001480191,"about_ca_topic_score_gemma":0.001990115,"domain_scores_codex":[0.9995658,0.00004983518,0.00002730889,0.0001707074,0.0001192015,0.00006722027],"domain_scores_gemma":[0.9995621,0.00008180265,0.00008408433,0.000118693,0.00006863424,0.00008463261],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002678289,0.0003383804,0.007819557,0.002888435,0.0002493434,0.001900585,0.001296629,0.006089281,0.5719751,0.07908121,0.09295133,0.2327319],"study_design_scores_gemma":[0.0001348274,0.0004991193,0.005798833,0.0003045508,0.0001510446,0.002513164,0.0002804124,0.007426929,0.06211387,0.013899,0.9067794,0.00009895977],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"other","genre_scores_codex":[0.4027745,0.02687642,0.2277463,0.009967446,0.004403505,0.001108425,0.02983841,0.04459102,0.252694],"genre_scores_gemma":[0.5525168,0.009646816,0.2416038,0.005780124,0.0004106073,0.00103845,0.03201667,0.004666557,0.1523203],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.0137267,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01241564600759324,"score_gpt":0.2459268592791896,"score_spread":0.2335112132715964,"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."}}