{"id":"W1580524133","doi":"10.1109/icde.2015.7113335","title":"Executing queries over schemaless RDF databases","year":2015,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; SPARQL; RDF; RDF Schema; RDF query language; Database; Workload; Query optimization; Materialized view; Information retrieval; Data mining; Cluster analysis; Semantic Web; View; Web query classification; Web search query; Database design; Search engine; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002103836,0.00008043454,0.0001045218,0.00003727118,0.00005043845,0.0001052232,0.000480969,0.00002007817,0.00002260855],"category_scores_gemma":[0.0001955667,0.00006047848,0.00002258323,0.0001402932,0.00004868073,0.0006662331,0.0004350859,0.00004653868,0.00009036469],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001302472,"about_ca_system_score_gemma":0.00006934257,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002868261,"about_ca_topic_score_gemma":0.00006905433,"domain_scores_codex":[0.9992613,0.00002178918,0.0001112937,0.0002214658,0.0001843095,0.0001997987],"domain_scores_gemma":[0.999301,0.00007843495,0.00003280795,0.0004629332,0.00005026715,0.00007452777],"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":[0.000004684396,0.00004046167,0.03093532,0.00001297581,0.0000118108,0.00004835149,0.0008262136,0.00001109186,0.0004216381,0.9277424,0.0298255,0.01011958],"study_design_scores_gemma":[0.003391832,0.0003653904,0.1075348,0.0002290324,0.00003958795,0.0003724915,0.01098499,0.09938626,0.1792361,0.03077711,0.5650638,0.002618587],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2621588,0.0004299902,0.6753451,0.001312048,0.0006225136,0.00006925475,0.00000115482,0.0006159462,0.0594453],"genre_scores_gemma":[0.8372794,0.000005933034,0.1607805,0.0005556185,0.00006651712,0.000003620116,0.00000160142,0.000003842026,0.001302985],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8969653,"threshold_uncertainty_score":0.2466241,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1150356334651332,"score_gpt":0.3182565078428614,"score_spread":0.2032208743777283,"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."}}