{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001975242,0.0007659785,0.0008608806,0.002547791,0.0009970673,0.002272387,0.002896848,0.0009009831,0.003446328],"category_scores_gemma":[0.005408654,0.0005677094,0.001250947,0.004545587,0.0008680054,0.007442967,0.00224018,0.001998042,0.001486251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001235761,"about_ca_system_score_gemma":0.002193779,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008129714,"about_ca_topic_score_gemma":0.005518591,"domain_scores_codex":[0.9966366,0.0004627116,0.0004955275,0.0005533267,0.001535744,0.0003159846],"domain_scores_gemma":[0.9946337,0.001402562,0.0003511211,0.002076032,0.001335829,0.0002008291],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005143933,0.0007851764,0.007336427,0.001186024,0.0002483296,0.000615404,0.001868749,0.04588078,0.05681313,0.1465147,0.04730308,0.6909339],"study_design_scores_gemma":[0.0002451213,0.0007007754,0.003320652,0.0001524739,0.0003765721,0.001490994,0.0006780521,0.6390722,0.06844609,0.1253179,0.1599798,0.0002193003],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01389694,0.00108902,0.9711149,0.000451437,0.0001126277,0.0003663705,0.0007519133,0.007274978,0.004941782],"genre_scores_gemma":[0.1263582,0.001298292,0.8600838,0.0004957981,0.0002377681,0.0005314809,0.003716747,0.000825428,0.006452563],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008129714,"threshold_uncertainty_score":0.01616478,"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."}}