{"id":"W4402043623","doi":"10.14778/3681954.3682026","title":"Blueprinting the Cloud: Unifying and Automatically Optimizing Cloud Data Infrastructures with BRAD","year":2024,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Natural Sciences and Engineering Research Council of Canada; National Science Foundation","keywords":"Cloud computing; Computer science; Blueprint; Operating system; Engineering","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002198945,0.002021759,0.0009332817,0.001353273,0.0005048289,0.00167657,0.00188128,0.001017676,0.001651734],"category_scores_gemma":[0.004804823,0.001245709,0.001095896,0.001092822,0.001065724,0.002920287,0.001668978,0.001661672,0.0006851096],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001795613,"about_ca_system_score_gemma":0.003896675,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009335076,"about_ca_topic_score_gemma":0.01829422,"domain_scores_codex":[0.9982132,0.0005620499,0.0001028816,0.0003001946,0.0005756766,0.0002460126],"domain_scores_gemma":[0.9977072,0.001061218,0.0002528013,0.0006088763,0.0002548249,0.0001148845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003455257,0.0004171276,0.009309129,0.0003809858,0.00008555908,0.0002075362,0.0002768744,0.6316691,0.02187403,0.009335623,0.007139113,0.3189595],"study_design_scores_gemma":[0.00003021579,0.0001010107,0.0003468024,0.00001187201,0.00001928282,0.00002948841,0.0000604187,0.9886878,0.005307218,0.003081123,0.002310227,0.00001457277],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2748141,0.002440748,0.6706065,0.0009073113,0.0001345159,0.0006403705,0.0006931291,0.04036662,0.009396693],"genre_scores_gemma":[0.3740622,0.0003500839,0.6209478,0.0002564691,0.00001418626,0.0001534943,0.0009749384,0.00117051,0.002070254],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.009335076,"threshold_uncertainty_score":0.01856148,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01638002221818085,"score_gpt":0.245026770284099,"score_spread":0.2286467480659181,"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."}}