OGC Testbed 10 Summary Engineering Report
Bibliographic record
Abstract
What is the OGC Testbed 10?The Open Geospatial Consortium (OGC) is the only international organization that brings industry players together to help organizations manage risks and difficulties that relate to communication about real-world location and mobility.The OGC combines rapid prototyping, standards development, coordination with other standards organizations, and aggressive standards marketing to address users' challenging geospatial integration problems.Over the last 18 years, the OGC's Member organizations have developed a unique and proven interoperability testbed process that saves invested time and money while creating new business opportunities and driving innovation.The OGC Interoperability Program plans and conducts plugfests, pilots and the annual OGC Testbed.This report summarizes the results of OGC Testbed 10.Testbed 10 sponsorship totaled $1.2 million USD and attracted in-kind contributions by participants of approximately $1.6 million USD for a 2.3x return on investment.Testbed requirements were provided by eleven (11) sponsors from the US, Canada and Europe.Requirements ranged from environmental management and civil government mapping to maintaining common operating pictures in disaster zones and battlefields.Twenty-nine (29) participating organizations, working on specific interoperability problems detailed in the sponsors' use cases and scenarios, delivered extraordinary value in the following areas: Cross-Community Interoperability (CCI):Increase Geospatial community interoperability by building on Testbed 9 CCI work in semantic mediation, volunteer geographic information (VGI), provenance and data quality, and the Global Gazetteer.Explore the potential of interoperability in the hydrology domain utilizing semantic mediation and ontologies to more easily share and visualize geospatial data.Open Mobility: Explore the geospatial standards requirements needed to support the growing mobile environment where client applications are mobile and information services are mobile and increasingly distributed across cloud infrastructures.The Open Mobility thread addressed these requirements while leveraging on the work achieved in Testbed 9 in the areas of OGC GeoPackage and GeoPackaging services and new OWS Context encodings.Aviation: Demonstrate use of the Aeronautical Information Exchange Model (AIXM), the Flight Information Exchange Model (FIXM), and Weather Information Exchange Model (WXXM) to build on the work accomplished in prior OGC testbeds to advance the applications of OGC Web Services standards in next generation air traffic management systems to support European and US aviation modernization programs.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".