Bogs and fens a guide to the peatland plants of the northeastern United States and adjacent Canada
Bibliographic record
Abstract
The word is spreading among outdoor enthusiasts and nature lovers that bogs and fens (peatlands) are among the most fascinating and beautiful places to visit. This growing reputation, along with the development of boardwalks that allow a close look at the ecosystem without getting one’s feet wet, has led to an upsurge in visits to these wetlands. To aid the increasing number of bog walkers, Ronald B. Davis has produced an attractive and informative guide to the trees, shrubs, and wildflowers of the peatlands of the greater American northeastern region. The book covers 155 of the species most likely to be discovered alongside the boardwalks and presents stunning photographs of 98 of them. It includes a primer on the ecology of peatlands and offers an invaluable guide to 78 peatlands with boardwalks across the region. This essential guide to the wonders of the bog trails will appeal to boardwalk newbies and old pros alike.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.042 | 0.009 |
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".