The effects of flooding regime and subzero temperatures on the rare Atlantic Coastal Plain species, Hydrocotyle umbellata
Bibliographic record
Abstract
Hydrocotyle umbellata is a semi-aquatic endangered species that lives on two lakes in all of Canada: Wilson's Lake, Yarmouth County and Kejimkujik Lake, Kejimkujik National Park. Though climate change, the construction of dams, and land use changes, the hydrological regime on lakes in Nova Scotia are changing. In this study, I examined the effects of flooding regime on growth and development of Hydrocotyle umbellata. Treatments included a "dry" summer condition where plants were not flooded at all, two constantly flooded treatments at two different depths, and three short term flood treatments (one early summer, one midsummer, and one late summer). Plants grew best under the "dry" summer condition; depth of flooding had little effect, and short term floods were just as damaging as continuous flooding. Timing of the short term floods had little impact. The flooded plants allocated more resources to the production of petioles at the expense of reproduction. Unit leaf rate initially declined with flooding, but increased over time as plants acclimated to the flooded condition. I also studied freezing tolerance in the underground structures of Hydrocotyle umbellata (rhizome). The LT₅₀ for a 6 cm rhizome fragment was determined to be in the range of -5 to -7 °C.
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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 | 0.000 | 0.000 |
| 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".