{"id":"W2199534348","doi":"10.1109/bigdata.2015.7363783","title":"Slingshot: A modular framework for designing data processing systems","year":2015,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Computer science; Database; Online transaction processing; Relational database; Leverage (statistics); Relational database management system; Flexibility (engineering); Modular design; Online analytical processing; Computer architecture; Transaction processing; Data warehouse; Programming language; Database transaction; Artificial intelligence","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":[0.00227056,0.00153365,0.0007955741,0.001363563,0.0007071657,0.003637934,0.004089417,0.001294491,0.01184376],"category_scores_gemma":[0.003474091,0.001999752,0.002705771,0.0008748898,0.001543649,0.003926673,0.003254112,0.002562151,0.006090709],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001028024,"about_ca_system_score_gemma":0.002135193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003604838,"about_ca_topic_score_gemma":0.005122623,"domain_scores_codex":[0.9986137,0.0002139799,0.0001773074,0.0002651353,0.0005667813,0.0001631736],"domain_scores_gemma":[0.9989649,0.0003514083,0.00007266688,0.000307267,0.0001970994,0.0001067359],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007731048,0.0003475035,0.003743416,0.002767489,0.0004638613,0.001319516,0.002061443,0.1203741,0.05153235,0.2351435,0.1217277,0.459746],"study_design_scores_gemma":[0.0003122489,0.0002660166,0.001371074,0.0004788617,0.0001719368,0.001037371,0.0002611176,0.3122782,0.04319255,0.1137621,0.5266364,0.000232167],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001550554,0.0002065309,0.9619753,0.0001246347,0.00003626143,0.0002521963,0.0007417542,0.03212319,0.002989684],"genre_scores_gemma":[0.03091068,0.0005327399,0.9482279,0.0003085447,0.00004837405,0.0007671081,0.004205605,0.008210897,0.006788285],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01184376,"threshold_uncertainty_score":0.03962135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1895178401194428,"score_gpt":0.3517411089889238,"score_spread":0.162223268869481,"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."}}