{"id":"W2370561562","doi":"","title":"Research on Mapping XML Schema to Relational Schema Based on CPI Algorithm","year":2007,"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":"XML Schema Editor; Computer science; Document Structure Description; RELAX NG; XML validation; Information retrieval; Streaming XML; Schema (genetic algorithms); XML Schema (W3C); XML database; Semi-structured model; XML; Database; Document type definition; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.005735979,0.0008148945,0.001040187,0.003528913,0.001275287,0.005693382,0.003397553,0.001239799,0.006417991],"category_scores_gemma":[0.01831841,0.0007725739,0.001250797,0.00885992,0.001707591,0.01508185,0.001793521,0.002990088,0.002561155],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001964856,"about_ca_system_score_gemma":0.002977353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004206286,"about_ca_topic_score_gemma":0.001130485,"domain_scores_codex":[0.993542,0.001750195,0.0006569403,0.001321938,0.002492228,0.0002367586],"domain_scores_gemma":[0.9918407,0.003121943,0.0004127984,0.002034303,0.002453023,0.000137177],"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":[0.0001013452,0.00008830636,0.001478189,0.0006179072,0.0000809634,0.0002067331,0.0006075986,0.01056953,0.004381702,0.4188568,0.0128048,0.5502061],"study_design_scores_gemma":[0.0001213198,0.0002221942,0.001234663,0.0005012914,0.0001746589,0.002584227,0.0008760295,0.3621501,0.04176208,0.293012,0.2972016,0.0001598876],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002238531,0.001386816,0.9870614,0.000596835,0.00022286,0.0001708629,0.0001479556,0.0009961363,0.007178559],"genre_scores_gemma":[0.0379706,0.003941291,0.9505031,0.0003299294,0.0002308514,0.0003168455,0.001241978,0.0004890286,0.004976374],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.006417991,"threshold_uncertainty_score":0.03033513,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06821519407402855,"score_gpt":0.3838867557664777,"score_spread":0.3156715616924491,"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."}}