{"id":"W2363785674","doi":"","title":"Research on Storing XMLData Based on General Ralational Model","year":2009,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Computational Techniques and Applications","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Relational database; Document Structure Description; XML database; Semi-structured model; XML Schema Editor; XML validation; XML; Relational model; XML Schema (W3C); Information retrieval; Database model; Streaming XML; Relational database management system; Schema (genetic algorithms); Database; Efficient XML Interchange; XML Encryption; World Wide Web","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003082866,0.0001903159,0.0001358551,0.0003746643,0.0005999598,0.000189908,0.001449188,0.00007534678,0.0000047894],"category_scores_gemma":[0.000001074696,0.0001957241,0.00007881758,0.0009683873,0.00004612586,0.0002361276,0.0001561274,0.0003731714,0.000161061],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001752172,"about_ca_system_score_gemma":0.0001250282,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001727727,"about_ca_topic_score_gemma":2.647336e-7,"domain_scores_codex":[0.9979674,0.0000515453,0.0002840067,0.0007816592,0.0005383646,0.0003769984],"domain_scores_gemma":[0.9983279,0.000209883,0.00007659767,0.0009878885,0.0002616983,0.0001360851],"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":[0.000002843025,0.000196012,0.000002386506,0.000001480054,0.000001895376,4.525194e-7,0.00001453589,0.3484578,0.001081988,0.5687668,0.004085976,0.07738782],"study_design_scores_gemma":[0.0001721634,0.00008149079,0.0004595844,0.00001312707,0.000001292122,0.000002510389,8.663816e-7,0.7891179,0.001557784,0.1196693,0.08874816,0.0001757258],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0003788896,0.00001085536,0.9863174,0.007000229,0.00001006704,0.0007354807,0.00002100582,0.0004547914,0.005071267],"genre_scores_gemma":[0.1635414,0.000003485498,0.8315787,0.003686614,0.0002308505,0.0005821852,0.00008234228,0.00001364899,0.0002806876],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4490974,"threshold_uncertainty_score":0.7981397,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07653792384931243,"score_gpt":0.4015165440379481,"score_spread":0.3249786201886357,"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."}}