{"id":"W2129789076","doi":"10.1109/icpads.2005.41","title":"A Pure Lazy Technique for Scalable Transaction Processing in Replicated Databases","year":2005,"lang":"en","type":"article","venue":"","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Database; Scalability; Transaction processing; Database transaction; Transaction processing system; Online transaction processing; Distributed transaction; Transaction log; Parallel computing; Programming language","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":[0.002106008,0.0006694735,0.0008152906,0.001056695,0.001313124,0.00157731,0.002936827,0.001001912,0.002233279],"category_scores_gemma":[0.006379688,0.0008484457,0.0006885284,0.001644649,0.001815517,0.00484466,0.003491153,0.00202873,0.001449214],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005974399,"about_ca_system_score_gemma":0.001152088,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006866415,"about_ca_topic_score_gemma":0.0009164849,"domain_scores_codex":[0.99725,0.000592051,0.0002138522,0.0003887802,0.00139072,0.0001645914],"domain_scores_gemma":[0.9970315,0.0006024847,0.0002285651,0.001687576,0.0003590906,0.00009086561],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0006015391,0.0002352666,0.001350885,0.001229208,0.0002333587,0.0006563418,0.001691104,0.04103304,0.1166458,0.2508593,0.02066532,0.5647988],"study_design_scores_gemma":[0.0005305678,0.000737317,0.001072948,0.0002321049,0.0003953824,0.002297699,0.0003211912,0.495542,0.08127065,0.2996975,0.1176977,0.0002049196],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004992118,0.001406277,0.9902775,0.0003047158,0.0001005629,0.00007775274,0.00002669755,0.001607269,0.001207066],"genre_scores_gemma":[0.1950835,0.00222392,0.7935505,0.0004803595,0.0006749656,0.0004475134,0.0001582812,0.0005709717,0.006810089],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.002936827,"threshold_uncertainty_score":0.01113778,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02586811747159823,"score_gpt":0.2883292759015748,"score_spread":0.2624611584299765,"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."}}