Soil and vegetation characteristics of a peatland near Lake Édouard in Mauricie National Park, Québec, Canada
Bibliographic record
Abstract
The majority of plant communities within the peatland near Lake Édouard belongs to the poor fen group. They are containing poor fen species such as Myrica gale, Carex rostrata, Glyceria canadensis, Calamagrostis canadensis, Carex canescens, Carex stricta, Alnus rugosa and Sphagnum subsecundum. Members of these taxa grow in association with a group of marsh species and with Chamaedaphne calyculata and Sphagnum majus, species characteristic of bogs. The soil are of the humisol great group, being well decomposed and relatively rich in nutrient elements but ranging from extremely to strongly acidic. Four new associations are noted: Sphagno-Juncetum brevicaudati, Sphagno-Hypericetum boreale, Sphagno-Glycerietum canadensis and Carici canescenti-Sphagnetum maji. The distribution of vegetation appears dependent on ground relief and, consequently, on the level and quality of water in the peatland.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".