{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0002207589,0.0003158904,0.0002898926,0.0002886549,0.0002171201,0.0005241467,0.003587148,0.0001077451,0.00005589078],"category_scores_gemma":[0.00009456334,0.0002619419,0.0001404987,0.0005755317,0.00007682749,0.0003975164,0.00189187,0.0004458849,0.0002906542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003621909,"about_ca_system_score_gemma":0.00008202869,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001521286,"about_ca_topic_score_gemma":0.000007157802,"domain_scores_codex":[0.9976156,0.00021667,0.0003824213,0.0007379846,0.0004410027,0.0006063738],"domain_scores_gemma":[0.9972075,0.0003030548,0.0001197835,0.001936586,0.0001832349,0.0002499064],"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":[0.000003403611,0.00009666573,0.0006911887,0.00002580481,0.00003236382,0.00001439297,0.001164001,0.01065694,0.0004182198,0.004918526,0.05794359,0.9240349],"study_design_scores_gemma":[0.001171731,0.0008449947,0.007888907,0.000132129,0.000009014719,0.0002565999,0.000007786871,0.6521245,0.004993874,0.2093717,0.1218397,0.001359043],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002978775,0.00005081322,0.9837879,0.007496304,0.0002963462,0.001165236,7.633687e-7,0.00173294,0.00249094],"genre_scores_gemma":[0.06731887,0.000008624961,0.9281268,0.003638382,0.0003952636,0.0002494298,0.000006617626,0.0000254084,0.0002306632],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9226758,"threshold_uncertainty_score":0.9999833,"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."}}