{"id":"W4402261046","doi":"10.62973/12-093","title":"OWS-9: UML-to-GML-Application-Schema (UGAS) Conversion Engineering Report","year":2013,"lang":"en","type":"report","venue":"","topic":"Model-Driven Software Engineering Techniques","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Defence Science and Technology Group; Natural Resources Canada; U.S. Army Corps of Engineers; Defence Science and Technology Laboratory; National Geospatial-Intelligence Agency; Federal Aviation Administration; U.S. Geological Survey; National Aeronautics and Space Administration","keywords":"Schema (genetic algorithms); Unified Modeling Language; Computer science; Programming language; Database; Software engineering; Information retrieval; Software","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009356459,0.0006731745,0.0007460815,0.0005997401,0.00007755723,0.0002509729,0.002184633,0.0006316858,0.00009643637],"category_scores_gemma":[0.0001031224,0.0006773583,0.0002580019,0.0006793975,0.0000210477,0.0005158171,0.001235814,0.0006500007,0.0005409644],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006679419,"about_ca_system_score_gemma":0.0006115408,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005847826,"about_ca_topic_score_gemma":0.000002825377,"domain_scores_codex":[0.9954439,0.00001796511,0.0009440085,0.00146006,0.001505639,0.0006284369],"domain_scores_gemma":[0.9947145,0.00007757364,0.0003985008,0.003284606,0.001095811,0.0004289872],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000003471486,0.0001778289,0.001216133,0.001226154,0.0003412525,0.0008526022,0.0003382745,0.007433629,0.003034458,0.06519006,0.7727987,0.1473875],"study_design_scores_gemma":[0.00006088022,0.00003857178,0.0002959692,0.0002071259,0.00001894555,0.0006464943,3.697494e-7,0.1020629,0.003941014,0.00005901908,0.8918512,0.0008175529],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0001473327,0.000121713,0.9834785,0.0003203962,0.00133233,0.001120176,0.000006293034,0.005187632,0.008285583],"genre_scores_gemma":[0.0105734,0.0001495878,0.9726669,0.0001377784,0.0004694887,0.0008107131,0.0001044241,0.0001446426,0.01494309],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.1465699,"threshold_uncertainty_score":0.9995677,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01561184836343402,"score_gpt":0.2564812432279524,"score_spread":0.2408693948645184,"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."}}