GLOSOB: The Global Soil Biodiversity Observatory
Bibliographic record
Abstract
As part of the post-2020 Plan of Action of the International Initiative for the Conservation and Sustainable Use of Soil Biodiversity (CBD 2020), adopted at the 2022 Conference of the Parties to the United Nations Convention on Biological Diversity (CBD COP15), the Food and Agriculture Organization of the United Nations (FAO) was mandated to implement a global soil biodiversity and ecosystem function monitoring framework. This initiative aligns with past and recent efforts of the FAO’s Global Soil Partnership (GSP) and its recently created International Network on Soil Biodiversity (NETSOB), as well as those from other international initiatives such as the Global Soil Biodiversity Initiative (GSBI) and the global Soil Biodiversity Observation Network (SoilBON). Through these initiatives, participating countries are therefore encouraged to improve their knowledge of soil biodiversity and implement sound policies and actions to prioritize soil biodiversity in National Reports and National Biodiversity Strategies and Action Plans (NBSAPs).
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.054 | 0.026 |
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".