{"id":"W1982177147","doi":"10.14778/2002974.2002976","title":"gStore","year":2011,"lang":"en","type":"article","venue":"Proceedings of the VLDB Endowment","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":263,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"SPARQL; RDF; Computer science; Information retrieval; Named graph; RDF Schema; Linked data; RDF query language; Scalability; RDF/XML; Pruning; Database; Semantic Web; Web search query; Web query classification; Search engine","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":[0.0007645193,0.001325793,0.001223977,0.001565456,0.00114446,0.003443604,0.002953996,0.001502919,0.230638],"category_scores_gemma":[0.00255073,0.000959144,0.001425723,0.002620814,0.0004822961,0.004507332,0.003397306,0.001973308,0.1847206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009796979,"about_ca_system_score_gemma":0.001526402,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003069328,"about_ca_topic_score_gemma":0.004725919,"domain_scores_codex":[0.9988155,0.0001357717,0.00009864494,0.0003431845,0.0004316955,0.0001751832],"domain_scores_gemma":[0.9989249,0.0001405917,0.00005255286,0.0005193547,0.0002620418,0.0001004768],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004497201,0.000150872,0.001271919,0.0007304072,0.0001186959,0.000247829,0.0001621465,0.002182583,0.007022507,0.0234921,0.7279258,0.2362453],"study_design_scores_gemma":[0.0001216316,0.00006012377,0.0006603679,0.00006039295,0.00003467443,0.0003059394,0.00007035922,0.01151903,0.008486561,0.01797107,0.9606709,0.00003896318],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.008428562,0.002466371,0.2025956,0.002551394,0.002078335,0.0006671418,0.06884974,0.3455576,0.3668053],"genre_scores_gemma":[0.07981606,0.002431221,0.2034926,0.003769108,0.0005277935,0.0009835127,0.301625,0.05060912,0.3567455],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.230638,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03354416418142819,"score_gpt":0.1981530133423381,"score_spread":0.1646088491609099,"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."}}