{"id":"W2087387838","doi":"10.1109/icde.2014.6816762","title":"Linked Data query processing","year":2014,"lang":"en","type":"article","venue":"","topic":"Semantic Web and Ontologies","field":"Computer Science","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"Computer science; Query language; Web query classification; Web search query; Information retrieval; View; Query optimization; RDF query language; World Wide Web; Server; Database; Data science; Database design; 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":[0.01343789,0.001730963,0.002674444,0.006650418,0.003307298,0.01227077,0.005651987,0.002910989,0.01490389],"category_scores_gemma":[0.0341064,0.001155148,0.003872346,0.01055732,0.001988494,0.01288798,0.008732237,0.003699691,0.008621875],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002682057,"about_ca_system_score_gemma":0.003979489,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005585643,"about_ca_topic_score_gemma":0.005076922,"domain_scores_codex":[0.9806406,0.005191416,0.002905301,0.002646519,0.007637993,0.0009780455],"domain_scores_gemma":[0.9800763,0.009405321,0.0008552991,0.005039169,0.004156181,0.0004677724],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0004213833,0.0003534175,0.002562527,0.002670704,0.0005355454,0.001189566,0.002194791,0.01635241,0.008214324,0.3397201,0.1571898,0.4685953],"study_design_scores_gemma":[0.0001147403,0.000111924,0.0007154623,0.000509737,0.0001700996,0.001126094,0.001361026,0.1422305,0.01639417,0.3865522,0.4505399,0.0001741804],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002293823,0.002010336,0.9622147,0.002531596,0.0003261309,0.0009435401,0.005193553,0.01213358,0.01235272],"genre_scores_gemma":[0.05785562,0.004232755,0.9014279,0.002168504,0.0006441833,0.001118877,0.01921105,0.002719923,0.01062117],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01490389,"threshold_uncertainty_score":0.07106721,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06458347728883644,"score_gpt":0.2917892744813442,"score_spread":0.2272057971925077,"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."}}