{"id":"W2146496747","doi":"10.14778/2732951.2732957","title":"Workload matters","year":2014,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; RDF; Workload; Computer science; RDF Schema; Simple Knowledge Organization System; Cwm; Set (abstract data type); Linked data; RDF query language; Semantic Web; Information retrieval; Database; Programming language; Operating system; Search engine; Web search query","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":[0.005470784,0.0008941427,0.0007685804,0.000963227,0.002611489,0.00959912,0.002081482,0.002942165,0.08762405],"category_scores_gemma":[0.03574364,0.0004409733,0.0006141417,0.001387572,0.003310221,0.01164924,0.004425074,0.00373241,0.03440248],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003436618,"about_ca_system_score_gemma":0.004028885,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002969112,"about_ca_topic_score_gemma":0.00356396,"domain_scores_codex":[0.9942814,0.001347671,0.0003841737,0.001209465,0.001879692,0.0008976078],"domain_scores_gemma":[0.9835516,0.004693776,0.001274962,0.002215986,0.004826421,0.003437302],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003370918,0.0001857268,0.008352087,0.0006866767,0.00007838289,0.0003737962,0.002376783,0.0004594502,0.002143028,0.1567681,0.5843005,0.2439384],"study_design_scores_gemma":[0.00003689246,0.00008302489,0.003709332,0.0004196156,0.00003560148,0.0007384454,0.002688707,0.0004709412,0.0008248834,0.1026807,0.8882731,0.00003870635],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"other","genre_gemma":"methods","genre_scores_codex":[0.02846636,0.02101285,0.02697408,0.4214607,0.03526961,0.0003203931,0.002676558,0.001613509,0.4622059],"genre_scores_gemma":[0.425528,0.02254481,0.01204999,0.1940208,0.03358456,0.0006089021,0.003353012,0.003689508,0.3046204],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.08762405,"threshold_uncertainty_score":0.2931316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007596812784350849,"score_gpt":0.1953586608834154,"score_spread":0.1877618480990645,"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."}}