{"id":"W2014465906","doi":"10.1109/icde.2008.4497606","title":"Hierarchical Indexing Approach to Support XPath Queries","year":2008,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo","funders":"","keywords":"XPath; Search engine indexing; Computer science; Index (typography); Path expression; Information retrieval; XML; Data mining; Theoretical computer science; Query language; XML database; 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":[0.0001381256,0.0001261756,0.0001702843,0.00008632452,0.0002159716,0.00002925791,0.0003823343,0.00003636851,0.00001807697],"category_scores_gemma":[0.0000285008,0.0000997481,0.00004092015,0.0003154907,0.00007168252,0.0007123236,0.0004086854,0.0001113135,0.0001135359],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002041961,"about_ca_system_score_gemma":0.00009177329,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005443949,"about_ca_topic_score_gemma":0.000007817335,"domain_scores_codex":[0.9987993,0.00003144709,0.0002046159,0.0003944128,0.0002680777,0.0003021467],"domain_scores_gemma":[0.999146,0.00002842819,0.00003094961,0.0005698862,0.00004139613,0.0001833246],"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":[0.000004772017,0.00005421104,0.0007935857,0.00001072461,0.000006389509,0.00003909755,0.001946277,0.00007575729,0.0002577808,0.986182,0.005147216,0.005482126],"study_design_scores_gemma":[0.0006186911,0.0004299287,0.004576349,0.00002667594,0.000003330373,0.001244037,0.0004487751,0.008795201,0.006084673,0.001825692,0.9749658,0.0009808423],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.007882325,0.00001268388,0.9307557,0.0001685432,0.0001467563,0.0001314426,0.000005197908,0.000264627,0.06063277],"genre_scores_gemma":[0.2137197,0.000005611629,0.7811745,0.0007856622,0.00009477462,0.00003534471,0.000008966822,0.000008920934,0.004166529],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9843563,"threshold_uncertainty_score":0.406761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03545349966933221,"score_gpt":0.2556314903924954,"score_spread":0.2201779907231632,"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."}}