Bibliographic record
Abstract
Many ponds in northern Maine have a low abundance of aquatic vegetation. Five exclosures were built in 2 ponds with high moose use but little vegetation. All exclosures sustained ice damage each winter. One was damaged beyond repair after 3 years, 3 were lost during the fifth winter, and 1 lasted for 6 years. The number of plants rooted along a 20 m transect were counted in mid-August in the first, second, fourth, and fifth years of the study. All vegetation rooted in 24 1 m plots (3 inside and 3 outside of each of the remaining exclosures) was pulled, dried, and weighed after the third growing season. Ten plots (5 inside and 5 outside) from the 1 remaining exclosure were clipped and weighed after 6 growing seasons. Plant biomass was greater in 3 of 4 protected than in unprotected areas after 3 years (P < 0.05) and in the 1 remaining exclosure after 6 years (P < 0.05). Biomass increased within the exclosures from the third to the sixth year (P < 0.05) but there was no change in the unprotected area. ALCES VOL. 38: 213-218 (2002)
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 teacher head, 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".