{"id":"W2970956651","doi":"10.14778/3342263.3342627","title":"Ocean vista","year":2019,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Natural Sciences and Engineering Research Council of Canada","funders":"","keywords":"Computer science; Computer network; Distributed computing; Gossip; Latency (audio); Concurrency control; Distributed transaction; Serializability; Transaction processing; Replication (statistics); Asynchronous communication; Database transaction; Database; Telecommunications","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":[0.0002206061,0.0001014773,0.0001520212,0.00002959399,0.00005070336,0.00009668509,0.001293089,0.00002897112,0.00001089672],"category_scores_gemma":[0.00001550226,0.00006572293,0.00008881922,0.000279564,0.00002303435,0.0002713143,0.0003686519,0.000079088,0.00005466007],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003988789,"about_ca_system_score_gemma":0.00001863323,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001872106,"about_ca_topic_score_gemma":1.697911e-7,"domain_scores_codex":[0.9989882,0.00000319078,0.0002168049,0.0002420057,0.0003478722,0.0002019432],"domain_scores_gemma":[0.9993966,0.00001137194,0.0001816675,0.0002375233,0.000128303,0.00004450941],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001659337,0.0002163426,0.03723507,0.0003112297,0.00006929421,6.999347e-7,0.001433806,0.00007890212,0.06313338,0.8530225,0.03950316,0.004979061],"study_design_scores_gemma":[0.003943045,0.0006108792,0.04235111,0.001093614,0.00004579095,0.0001037577,0.0009123377,0.0312043,0.4365337,0.02554924,0.4563386,0.001313642],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9005635,0.0002414818,0.001733677,0.00309056,0.001434599,0.0009614485,0.0000134196,0.0001794455,0.09178191],"genre_scores_gemma":[0.9970585,0.00000436663,0.0007876948,0.0001471048,0.00003080517,0.000003365006,2.682273e-7,0.000005327595,0.001962574],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8274732,"threshold_uncertainty_score":0.2680103,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004017234516262306,"score_gpt":0.1842977793246883,"score_spread":0.180280544808426,"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."}}