{"id":"W2244331736","doi":"10.14778/2536222.2536255","title":"Toward scalable transaction processing","year":2013,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Scalability; Transaction processing system; Computer science; Transaction processing; Multi-core processor; Online transaction processing; Database transaction; Metadata; Distributed transaction; Distributed computing; Computer architecture; Embedded system; Parallel computing; Database; 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":[0.000172494,0.0001144522,0.0001499219,0.00003656322,0.0001139239,0.000222872,0.0008297125,0.00004028045,0.00001632983],"category_scores_gemma":[0.00001229318,0.00007476407,0.00007795153,0.0003670861,0.00003520244,0.0008966,0.00009336272,0.00009408954,0.0000282559],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005293806,"about_ca_system_score_gemma":0.00002527022,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001140282,"about_ca_topic_score_gemma":4.937992e-7,"domain_scores_codex":[0.9989096,0.000003852284,0.0002593934,0.0002402833,0.0003503049,0.0002365572],"domain_scores_gemma":[0.9993712,0.000006653544,0.0001873529,0.0001252139,0.0002521008,0.00005750513],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.00002327273,0.0007013252,0.00489278,0.001644358,0.0001122973,9.517532e-7,0.008857253,0.0002384247,0.4081848,0.08125832,0.03135312,0.4627331],"study_design_scores_gemma":[0.002105699,0.0002701436,0.01764776,0.001171491,0.00005137732,0.0001113611,0.001426747,0.1084314,0.8074706,0.02466369,0.03571898,0.0009306829],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5702118,0.001614749,0.2974032,0.02354014,0.002363319,0.004249078,0.00001473731,0.0008877614,0.09971517],"genre_scores_gemma":[0.9951335,0.000008227393,0.004052568,0.0001081101,0.0000371612,0.00009701479,1.974357e-7,0.000006220578,0.0005569688],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4618025,"threshold_uncertainty_score":0.3048791,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01483689700489075,"score_gpt":0.2104329737351254,"score_spread":0.1955960767302347,"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."}}