{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01384375,0.001329609,0.0006352409,0.003132542,0.00102326,0.003564727,0.002069629,0.001222019,0.02232678],"category_scores_gemma":[0.0132889,0.001009592,0.0008210037,0.002198939,0.0007055632,0.002880381,0.002154493,0.002050987,0.02590018],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001879091,"about_ca_system_score_gemma":0.006964333,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01608506,"about_ca_topic_score_gemma":0.00708436,"domain_scores_codex":[0.9912895,0.001886455,0.0005154754,0.0005593493,0.00512603,0.0006231688],"domain_scores_gemma":[0.9938366,0.001210303,0.0003689813,0.001514691,0.002623803,0.0004456468],"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":[0.0009430054,0.002734812,0.006078748,0.00058238,0.0001060562,0.001340669,0.001488557,0.0153525,0.03550058,0.09016623,0.4573036,0.3884029],"study_design_scores_gemma":[0.0002117129,0.0004552529,0.005288604,0.0002032484,0.00004222277,0.0008366599,0.000302318,0.01955108,0.07809819,0.007361824,0.8875281,0.0001207637],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.05201844,0.0006325121,0.5891865,0.003925779,0.001225041,0.008116673,0.04973106,0.04898814,0.2461759],"genre_scores_gemma":[0.0781196,0.001559266,0.5138854,0.0005355359,0.0003040287,0.004390626,0.2040905,0.01540964,0.1817055],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.02232678,"threshold_uncertainty_score":0.07469058,"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."}}