Wetland mapping and monitoring in the Regional District of Nanaimo
Bibliographic record
Abstract
Wetlands play a pivotal role within the Regional District of Nanaimo (RDN), including the Mount Arrowsmith Biosphere Region (MABR), providing ecosystem services and significant value to the region. Wetlands in this region face threats including climate change, hydrological changes, urban development, and resource extraction; therefore, it is important that we have a core in-depth understanding of their local roles. This study looks at what part wetlands play in groundwater recharge or discharge. Instrumentation was installed at three sites within the MABR, collecting water levels in three piezometers installed at different depths, precipitation, and daily site photos, with data downloaded every three months and compared to data from the nearest climate, hydrometric, and observation well stations. Data interpretation is still in the initial stages and more data is required in order to confidently conclude the role these selected wetlands have with regards to their connection to the underlying aquifers of the region.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".