{"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":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00007207141,0.0002085614,0.0001540636,0.0001339464,0.000341119,0.0001684532,0.001299692,0.00007252055,0.00003426654],"category_scores_gemma":[4.901713e-7,0.0002152273,0.0001007044,0.0005760564,0.00004253938,0.000259215,0.0001903679,0.0001782321,0.00080982],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009666843,"about_ca_system_score_gemma":0.00006490886,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001155886,"about_ca_topic_score_gemma":0.00000370906,"domain_scores_codex":[0.9984902,0.00002483873,0.0003062321,0.0006880069,0.0002288012,0.0002619881],"domain_scores_gemma":[0.9985542,0.0001768285,0.0001109412,0.0009118314,0.0001175383,0.0001286869],"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":[0.000002670575,0.0003969271,0.00003582149,0.000003296649,0.00001175161,8.355083e-7,0.00006692505,0.02382814,0.002933498,0.1970103,0.02859923,0.7471105],"study_design_scores_gemma":[0.0002002892,0.00002075833,0.0002862737,0.000009089882,0.000003691278,0.000001004317,0.000001179281,0.2602459,0.005607206,0.05391576,0.6794885,0.000220383],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001969869,0.00004767297,0.9811133,0.01422953,0.00001530641,0.0006220142,0.00003590103,0.0008353253,0.00290401],"genre_scores_gemma":[0.0536235,0.000007018038,0.9324218,0.01231545,0.0003701943,0.001025886,0.00007899667,0.00001990707,0.0001372741],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7468902,"threshold_uncertainty_score":0.9999682,"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."}}