{"id":"W2383286480","doi":"","title":"WEBGIS based on GML3.0 from scratch","year":2005,"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":"Scalable Vector Graphics; Computer science; XSLT; Graph; Database; Information retrieval; Process (computing); Scratch; World Wide Web; XML; Theoretical computer science; Programming language","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":[0.002130285,0.00077506,0.0006862712,0.002058889,0.0005000281,0.003265232,0.001955719,0.0008077286,0.01292316],"category_scores_gemma":[0.005184079,0.0009992722,0.001079736,0.001389861,0.001149657,0.004356482,0.003049255,0.002361338,0.01039629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008750795,"about_ca_system_score_gemma":0.001449356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002988158,"about_ca_topic_score_gemma":0.002174313,"domain_scores_codex":[0.9986851,0.0003338978,0.0001262251,0.0002297664,0.0005356079,0.00008948534],"domain_scores_gemma":[0.9978612,0.0004165859,0.00009867135,0.001152558,0.0003625524,0.0001084937],"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":[0.0003526226,0.0002181607,0.002808302,0.001412426,0.0003144664,0.001086359,0.001578751,0.01971857,0.01956782,0.2959553,0.1399454,0.5170418],"study_design_scores_gemma":[0.000113593,0.00008645999,0.0014877,0.0004588059,0.00008724995,0.0007807197,0.0001934704,0.08747906,0.02131562,0.1502589,0.7375905,0.0001479675],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.002481745,0.0002067082,0.8580275,0.0005541043,0.0001216302,0.000185198,0.001540113,0.114472,0.02241099],"genre_scores_gemma":[0.07920276,0.0007494305,0.855226,0.001315443,0.0001404406,0.0005726081,0.01206968,0.02318227,0.02754136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.01292316,"threshold_uncertainty_score":0.04323226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008465848645468602,"score_gpt":0.2594191362060243,"score_spread":0.2509532875605557,"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."}}