Lack of Evidence for Impact of the European White Birch, <em>Betula pendula</em>, on the Hydrology of Wainfleet Bog, Ontario
Bibliographic record
Abstract
Over time peat harvesting and human encroachment have devastated the hydrology of Wainfleet Bog. Disturbances caused by human activities have rendered the bog ecosystem vulnerable to an influx of invasive species. The European White Birch (Betula pendula) has contributed to the degradation of the Wainfleet Bog. The disrupted hydrology has allowed for the development of dry conditions that have enabled B. pendula to take over habitats that were once dominated by native flora. To determine whether B. pendula was depressing the water table through evapotranspiration, we examined water table levels (March 1998 to July 1999) and vegetative data from 15 well stations. Analysis of results using a Repeated Measures Statistic Design failed to demonstrate a significant relationship between the presence of B. pendula and water table levels at Wainfleet Bog.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".