{"id":"W2146021203","doi":"10.1109/ssdbm.2006.31","title":"InterJoin: Exploiting Indexes and Materialized Views in XPath Evaluation","year":2006,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":11,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"XPath; Computer science; XML database; Information retrieval; Streaming XML; XML; Materialized view; Implementation; Query optimization; Simple API for XML; XML Schema (W3C); Path expression; XML validation; Exploit; Query language; Database; Data mining; Efficient XML Interchange; Programming language; XML Encryption; XML Signature; View; World Wide Web","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":[0.0005870297,0.00006705372,0.0001079456,0.00007006789,0.00005389277,0.00005445072,0.00009106654,0.00001381201,0.00009254145],"category_scores_gemma":[0.00001943072,0.00005616556,0.00001047613,0.0001164162,0.00001336501,0.0006968879,0.0001856209,0.00003197995,0.000004282849],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003189581,"about_ca_system_score_gemma":0.00001634662,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005272913,"about_ca_topic_score_gemma":0.0003250457,"domain_scores_codex":[0.9992012,0.00009982178,0.0002228081,0.0002036993,0.0001579955,0.0001144192],"domain_scores_gemma":[0.9996936,0.00002153072,0.00006417894,0.0001849527,0.00002071139,0.00001500311],"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":[0.00002094473,0.00007767963,0.009917501,0.00005946324,0.000004767895,0.00001914955,0.002100635,0.0003212916,0.02474562,0.8688532,0.0009433593,0.09293643],"study_design_scores_gemma":[0.01047122,0.0004576638,0.08172904,0.0005721562,0.00002270028,0.0002656458,0.003992327,0.2715288,0.06232915,0.07897226,0.4871728,0.002486261],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4637405,0.0002308592,0.5314494,0.0001074673,0.0002651413,0.0002570235,0.000003890508,0.00007488295,0.003870809],"genre_scores_gemma":[0.9283093,0.000008857075,0.07124978,0.00008609892,0.0000474583,0.0000952827,0.00001589318,0.000004973334,0.0001824033],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7898809,"threshold_uncertainty_score":0.2290365,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03021142683311689,"score_gpt":0.2796308239724061,"score_spread":0.2494193971392892,"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."}}