{"id":"W2067642869","doi":"10.1145/1619258.1619269","title":"Parallel event processing for content-based publish/subscribe systems","year":2009,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Scalability; Software transactional memory; Throughput; Lock (firearm); Matching (statistics); Event (particle physics); Transactional memory; Implementation; Parallel computing; Software; Distributed computing; Computer architecture; Embedded system; Operating system; Software engineering; Database","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":[0.0003969368,0.0001634333,0.0002539337,0.00006133961,0.0001567046,0.0009963684,0.0007626203,0.00007338284,0.000002529572],"category_scores_gemma":[0.00003813226,0.0001286356,0.0001055057,0.0002780758,0.00001477382,0.0008670397,0.00002318245,0.00006799345,0.0000139443],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005166735,"about_ca_system_score_gemma":0.0001248616,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004138823,"about_ca_topic_score_gemma":0.000004543738,"domain_scores_codex":[0.9984358,0.00003178636,0.0004037731,0.0004185891,0.0003023502,0.000407714],"domain_scores_gemma":[0.998907,0.00003289855,0.0001547396,0.0004323444,0.0003347172,0.0001382855],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00008452823,0.0008115142,0.0004959778,0.0004489848,0.00004382964,0.0000310396,0.0003701782,0.01355187,0.002074395,0.6669589,0.09914034,0.2159884],"study_design_scores_gemma":[0.001523767,0.000204326,0.0008894015,0.0001606608,0.000005719186,0.00001260863,0.0001284095,0.9360695,0.00028837,0.0003651388,0.0600144,0.000337667],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0006899204,0.0006809174,0.9918356,0.003159004,0.0005181187,0.0006229155,0.00001197583,0.0003309067,0.002150673],"genre_scores_gemma":[0.9699265,9.766704e-7,0.02698535,0.001100019,0.0001060365,0.0001106656,0.0000152856,0.000006705632,0.001748421],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9692366,"threshold_uncertainty_score":0.9608003,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04701812603583192,"score_gpt":0.2699475534114719,"score_spread":0.2229294273756399,"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."}}