{"id":"W2136058416","doi":"10.1007/s00778-006-0026-x","title":"Extending DBMSs with satellite databases","year":2006,"lang":"en","type":"article","venue":"The VLDB Journal","topic":"Distributed systems and fault tolerance","field":"Computer Science","cited_by":48,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Scalability; Middleware (distributed applications); Database; Architecture; Satellite; Distributed computing","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":[0.0005176284,0.00009979986,0.0001123173,0.00004122752,0.0003634898,0.0004105171,0.0007366661,0.00001333163,0.00001223937],"category_scores_gemma":[0.000006670561,0.00005161345,0.00004102362,0.0002672469,0.00004447205,0.0005108143,0.00007174981,0.0002008652,0.00004257617],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002496613,"about_ca_system_score_gemma":0.00004399429,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005615822,"about_ca_topic_score_gemma":0.00001879866,"domain_scores_codex":[0.9990006,0.00007131828,0.0002051153,0.0001424509,0.0003109396,0.0002695545],"domain_scores_gemma":[0.9992971,0.0000512622,0.0001459911,0.0003849574,0.00006065185,0.00006003387],"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":[0.00009777313,0.0003440647,0.01832569,0.00004525586,0.0001583852,0.001493859,0.001284944,0.005597953,0.006154963,0.608072,0.03840083,0.3200243],"study_design_scores_gemma":[0.001728681,0.0001986728,0.06542601,0.0005073001,0.00003875882,0.01217023,0.000296137,0.01640084,0.002829614,0.007896343,0.8917598,0.0007476509],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.0445508,0.00295846,0.9435912,0.00152814,0.0005104327,0.00008443354,0.00001067575,0.00007837615,0.006687425],"genre_scores_gemma":[0.99095,0.00008117354,0.007661684,0.0001500931,0.0004979842,0.000002292116,0.000002739994,0.000007491654,0.0006464648],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9463993,"threshold_uncertainty_score":0.3958626,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01229410304909796,"score_gpt":0.2241104797065471,"score_spread":0.2118163766574492,"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."}}