Summer assessment of zooplankton biodiversity and environmental control in urban waterbodies on the Island of Montréal
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Waterbodies in urban environments are usually built or maintained to serve socioeconomic functions. However, they also represent ecosystems that can contribute notably to urban biodiversity. To better understand contribution to biodiversity of urban ecosystems, the variation in zooplankton community composition in 19 waterbodies across the Island of Montréal (Québec, Canada) was monitored across three summer months. Communities were dissimilar between and within waterbodies with species richness differences and replacement patterns playing equal parts in shaping the observed variation. Within each waterbody, notable differences were detected between months, which can affect biodiversity estimation or community composition assessment. Zooplankton species richness was especially well explained by macrophyte cover, which had a positive effect. Compositional differences were also explained by macrophyte cover and by waterbody emptying. Partitioning the beta diversity revealed that only richness difference patterns were explained by macrophyte cover, as species replacement patterns were not explained by any of the measured environmental variables.
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.
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) | 0.003 | 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 it