{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000145514,0.0000850576,0.00008720918,0.00004766937,0.0000954797,0.00001744432,0.0001764626,0.00001686645,0.000006807547],"category_scores_gemma":[0.00004828144,0.00007240052,0.00003096306,0.0001156517,0.00001417162,0.001264138,0.0001398929,0.00004330422,0.000009681868],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002553025,"about_ca_system_score_gemma":0.00002482534,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003286921,"about_ca_topic_score_gemma":0.00001756295,"domain_scores_codex":[0.9993069,0.000003751695,0.0001594121,0.0002568603,0.00012495,0.0001480867],"domain_scores_gemma":[0.9994321,0.00007101167,0.00003354055,0.0003708347,0.00004320262,0.0000493395],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000001808085,0.00002390144,0.00002017907,0.00001843245,0.000005141923,1.235823e-7,0.0000649732,0.01216156,0.001695004,0.9779893,0.001147643,0.006871933],"study_design_scores_gemma":[0.0001989741,0.000009577529,0.00008372952,0.000007233347,0.000001260228,0.00001190873,0.00001794341,0.5776177,0.001167394,0.00006971939,0.4206923,0.0001222697],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00006359536,0.00009483966,0.9968831,0.0002803802,0.00008321788,0.0001482397,0.00003246784,0.000170028,0.002244135],"genre_scores_gemma":[0.007473926,0.000002117026,0.9910491,0.0001232148,0.0002069115,0.00004882477,0.0001045048,0.00000689729,0.0009844654],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9779196,"threshold_uncertainty_score":0.2952408,"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."}}