Red Maple, <em>Acer rubrum</em>, Wetland Composition and Structure in Nova Scotia
Bibliographic record
Abstract
Red Maple (Acer rubrum) wetlands occur when Red Maple dominated forest occupies imperfectly drained to saturated soils. Plots were established in 28 Red Maple wetlands in Nova Scotia to document structure and plant composition. Non-metric multidimensional scaling (NMDS) was used to assess vegetation differences by wetland type (floodplain, depression, slope) and geographic region (inland vs. coastal and western vs. eastern shore). Seventy-eight species of vascular plants and 35 species of non-vascular plants were found in plots. Two species of rare vascular plants and four rare Sphagnum species were found in plots or within the wetlands. Sphagnum species richness was very high. Red Maple wetlands are structurally complex, often having five distinct vertical layers. NMDS species composition analyses suggest little difference between wetland types and geographic regions. Given the diversity of vascular and non-vascular plants and the structural complexity of Red Maple wetlands in Nova Scotia, these wetlands make a significant contribution to the biodiversity and heterogeneity of the landscape.
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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 | 0.001 | 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".