{"id":"W4298212960","doi":"10.1007/978-3-031-01839-8_8","title":"Lazy Replication","year":2010,"lang":"en","type":"book-chapter","venue":"Synthesis lectures on data management","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"McGill University","funders":"","keywords":"Commit; Computer science; Protocol (science); Replication (statistics); Distributed computing; Database; Mathematics","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":[0.0005889859,0.0007497629,0.0006076805,0.0007683196,0.001091706,0.002388187,0.001192077,0.0007205197,0.03865793],"category_scores_gemma":[0.001817749,0.000557504,0.0004713242,0.001368763,0.001093316,0.004605728,0.001692144,0.002006596,0.02100356],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009545275,"about_ca_system_score_gemma":0.0009389861,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008008659,"about_ca_topic_score_gemma":0.001150059,"domain_scores_codex":[0.9993681,0.00009226157,0.00003080277,0.0001744986,0.0002834962,0.00005070799],"domain_scores_gemma":[0.9992806,0.0001290564,0.00002670465,0.0003767373,0.0001471908,0.00003970438],"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":[0.00007264926,0.00004766391,0.0001238868,0.0002168329,0.00002165387,0.00005138743,0.0002704837,0.002732924,0.003801651,0.523608,0.1323566,0.3366963],"study_design_scores_gemma":[0.00002164122,0.00003157057,0.0001588627,0.0000898191,0.00002031665,0.0002110434,0.00005732983,0.007273402,0.003610934,0.4311052,0.5573965,0.00002338647],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.005266901,0.01189628,0.4424216,0.00341211,0.003424397,0.0001583526,0.0006759893,0.007248,0.5254963],"genre_scores_gemma":[0.117531,0.00831719,0.1300987,0.001351426,0.001922905,0.0002292923,0.001525997,0.002439062,0.7365845],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.03865793,"threshold_uncertainty_score":0.1293237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03941880082540541,"score_gpt":0.2657403954992836,"score_spread":0.2263215946738782,"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."}}