{"id":"W2100622378","doi":"10.1109/icde.2005.249","title":"Novel Approach for Reengineering Relational Databases into XML","year":2005,"lang":"en","type":"article","venue":"","topic":"Advanced Database Systems and Queries","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Computer science; Relational database; XML Schema Editor; XML database; Document Structure Description; XML; XML Schema (W3C); Database; XML validation; Database model; Schema (genetic algorithms); Semi-structured model; Entity–relationship model; Efficient XML Interchange; Business process reengineering; Database schema; Streaming XML; Information retrieval; Database design; World Wide Web; XML Encryption; Engineering","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":[0.001691179,0.0004472359,0.0004634247,0.001110153,0.0004621359,0.001993226,0.001915841,0.000843789,0.004151886],"category_scores_gemma":[0.003157566,0.0004194287,0.0007177643,0.00116964,0.000578638,0.003196442,0.001865037,0.001703855,0.001654484],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00051939,"about_ca_system_score_gemma":0.0008329751,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00148009,"about_ca_topic_score_gemma":0.002061032,"domain_scores_codex":[0.99765,0.0003975837,0.00023476,0.0003889088,0.001254514,0.00007428398],"domain_scores_gemma":[0.9980949,0.0003524745,0.0001140019,0.0008554609,0.0005224771,0.00006079739],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000141083,0.0001999873,0.001031605,0.0004996202,0.0001163976,0.0009370238,0.0007637242,0.003988757,0.05545807,0.1871848,0.02014415,0.7295348],"study_design_scores_gemma":[0.0001227762,0.0002879651,0.001150602,0.0001935424,0.0001975892,0.004960636,0.0004369614,0.1158928,0.09543989,0.04612106,0.7350541,0.0001420745],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002178352,0.000362503,0.9901676,0.0003239449,0.0001294769,0.0001202492,0.0000880501,0.003351796,0.003278104],"genre_scores_gemma":[0.02434844,0.0005370688,0.9675509,0.0003765358,0.00008306056,0.0001054506,0.0004706412,0.0002804035,0.006247647],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004151886,"threshold_uncertainty_score":0.01388943,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04473729049941801,"score_gpt":0.2682582123273256,"score_spread":0.2235209218279075,"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."}}