{"id":"W2134489155","doi":"10.14778/2535570.2488332","title":"DAX","year":2013,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Cloud Computing and Resource Management","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Eventual consistency; Scalability; Cloud computing; Consistency (knowledge bases); Exploit; Database; High availability; Weak consistency; Strong consistency; Distributed computing; Data consistency; Operating system; Consistency model; Computer security","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":[0.001463589,0.001044366,0.0006434562,0.001229607,0.001272261,0.004097024,0.00307378,0.001161856,0.171357],"category_scores_gemma":[0.003010618,0.0006343267,0.0005729822,0.001416128,0.0004892579,0.004322057,0.004094131,0.001984432,0.1338651],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000952995,"about_ca_system_score_gemma":0.001332846,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001943052,"about_ca_topic_score_gemma":0.001670668,"domain_scores_codex":[0.9985427,0.0001743498,0.00009822143,0.000340704,0.0006203472,0.0002237859],"domain_scores_gemma":[0.9979433,0.0001726718,0.00009053956,0.0008244385,0.0006708585,0.0002981385],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007243347,0.0002147817,0.00171378,0.00052711,0.00005228995,0.0002764555,0.0003078638,0.001162958,0.01169497,0.05942342,0.6687797,0.2551224],"study_design_scores_gemma":[0.00004335323,0.00005299221,0.0005076404,0.00003320642,0.00000894845,0.0001576998,0.00005453709,0.002264338,0.004050368,0.003704666,0.9891049,0.00001729941],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01419123,0.003227482,0.1519221,0.003535611,0.003613438,0.00106064,0.02010442,0.1569206,0.6454244],"genre_scores_gemma":[0.1106861,0.003367575,0.1130868,0.003926658,0.001176571,0.00123342,0.08361211,0.02320612,0.6597046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.171357,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007384205337364365,"score_gpt":0.1866027277957586,"score_spread":0.1792185224583943,"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."}}