{"id":"W2089247150","doi":"10.1145/2602622.2602624","title":"Automated schema design for NoSQL databases","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"NoSQL; Computer science; Schema (genetic algorithms); Schema evolution; Schema migration; Database schema; Database; Materialized view; Conceptual schema; Star schema; Workload; Relational database; View; Information retrieval; Data mining; Semi-structured model; Database design; Scalability; Operating system; Gender schema theory","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":[0.00546683,0.0004659916,0.0005582984,0.0008253094,0.0006390334,0.003124865,0.00194135,0.0008385581,0.002112547],"category_scores_gemma":[0.01266862,0.0007934818,0.0009201383,0.001284256,0.000724873,0.003391356,0.001908169,0.001293917,0.0006680698],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009895581,"about_ca_system_score_gemma":0.001600209,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001210636,"about_ca_topic_score_gemma":0.001789487,"domain_scores_codex":[0.9952663,0.00162259,0.0007126198,0.0004289906,0.001763943,0.000205611],"domain_scores_gemma":[0.9922343,0.002280506,0.0006205303,0.002626097,0.002050585,0.000188015],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0005465153,0.0003588182,0.008152635,0.001110306,0.0002458811,0.0006678164,0.001383825,0.1616318,0.07907246,0.2300207,0.02123391,0.4955753],"study_design_scores_gemma":[0.0001313479,0.0001048708,0.0007903629,0.0001228169,0.00008853697,0.0003896437,0.0003317663,0.7577044,0.05705085,0.1178087,0.06541438,0.00006235677],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01138988,0.0002912327,0.9816595,0.0004648888,0.00003840579,0.0003270815,0.0003240209,0.004110111,0.001394808],"genre_scores_gemma":[0.1316288,0.0003928455,0.8645381,0.0002070669,0.00003371396,0.0003233811,0.001097917,0.0006517242,0.0011265],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00546683,"threshold_uncertainty_score":0.02891171,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05211720854598074,"score_gpt":0.301931478655124,"score_spread":0.2498142701091433,"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."}}