{"id":"W2359463421","doi":"","title":"Research on Designed Technique in Integrated Query System Based on XML","year":2006,"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; JavaBeans; Query optimization; XML; Query language; Query by Example; Database; Sargable; Layer (electronics); Flexibility (engineering); Query expansion; SQL; Information retrieval; RDF query language; Web search query; Web query classification; Java; Programming language; World Wide Web; Search engine","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002927254,0.0005255245,0.000733426,0.001110309,0.0005937659,0.001996204,0.002091687,0.0008871771,0.003717037],"category_scores_gemma":[0.002928028,0.0004588797,0.0009320528,0.001347652,0.000837514,0.005675618,0.0008586956,0.001062019,0.0007141308],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008143174,"about_ca_system_score_gemma":0.001013235,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002382927,"about_ca_topic_score_gemma":0.0009040371,"domain_scores_codex":[0.9971495,0.0007230046,0.0002446627,0.0007525051,0.0009572624,0.0001730362],"domain_scores_gemma":[0.9989084,0.0003721403,0.00005009751,0.0001915969,0.000435664,0.00004202054],"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":[0.00045153,0.0002540067,0.005684076,0.001752374,0.0003519861,0.000894429,0.0040018,0.008367446,0.09682523,0.289762,0.01272787,0.5789272],"study_design_scores_gemma":[0.0005453141,0.001333221,0.006118354,0.0006081518,0.001250462,0.007052307,0.002281123,0.4638662,0.1647729,0.1028695,0.2489979,0.0003046281],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005060167,0.0009312669,0.9899356,0.0003326299,0.00007493105,0.0001116251,0.00003446129,0.001244888,0.002274456],"genre_scores_gemma":[0.1795451,0.003098856,0.8072129,0.0006075531,0.000240765,0.000354652,0.0005089078,0.0003619543,0.008069299],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003717037,"threshold_uncertainty_score":0.015481,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02442180537653552,"score_gpt":0.3270969609919779,"score_spread":0.3026751556154423,"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."}}