OGC Catalogue Services Standard 2.0 Extension Package for ebRIM Application Profile: Earth Observation Products
Bibliographic record
Abstract
This document describes the mapping of Earth Observation Products -defined in the OGC ® GML 3.1.1Application schema for Earth Observation products [OGC 06-080r4] (version 0.9.3) -to an ebRIM structure within an OGC ® Catalogue 2.0.2 (Corrigendum 2 Release) [OGC 07-006r1] implementing the CSW-ebRIM Registry Service -part 1: ebRIM profile of CSW [OGC 07-110r4].This standard defines the way Earth Observation products metadata resources are organized and implemented in the Catalogue for discovery, retrieval and management. i. Document terms and definitionsThis document uses the specification terms defined in Subclause 5.3 of [OGC 05-008], which is based on the ISO/IEC Directives, Part 2. Rules for the structure and drafting of International Standards.In particular, the word "shall" (not "must") is the verb form used to indicate a requirement to be strictly followed to conform to this specification. ii. Submitting organizationsThe following organizations submitted the OGC ® Earth Observation Extension Package ebRIM profile of CS-W 1.0 to the OGC.The submission team would like to thank all of the members of the Standards Working Group who helped bring this document to OGC adopted standard status.• ERDAS (was Ionic Software s.a.)• Spacebel s.a.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.009 | 0.019 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.066 | 0.202 |
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 source (direct Gemma or distilled Codex), 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".