91 Chapter 5 Aquatic Invertebrates of Prairie Wetlands: Community Composition, Ecological Roles, and Impacts of Agriculture
Bibliographic record
Abstract
Abstract. The southern portions of Manitoba, Saskatchewan, and Alberta are covered with millions of small water-filled depressions called prairie potholes. These wetlands provide habitat for a diverse array of aquatic invertebrates, which provide an important food resource for the abundant fauna that use these wetlands. Other functions and values of the aquatic invertebrates are not as well known. More information is needed on taxonomic composition and basic ecology so that we can better understand their role in the wetland trophic dynamics and wetland functioning. This information would also help us to better understand the factors that regulate community composition and abundance, and how agriculture and other anthropogenic impacts are contributing to losses of wetland biodiversity and functioning. Résumé. Les portions méridionales du Manitoba, de la Saskatchewan et de l’Alberta sont recouvertes de millions de petites dépressions remplies d’eau qu’on l’on appelle fondrières des Prairies. Ces milieux humides accueillent une diversité d’invertébrés aquatiques qui constituent une source importante de nourriture pour de nombreux animaux sauvages. Les autres fonctions et utilités de ces invertébrés aquatiques sont moins bien connues. Nous avons besoin d’en savoir plus sur la composition taxonomique et l’écologie fondamentale de ces organismes afin de mieux comprendre leur rôle dans la dynamique trophique et le fonctionnement des milieux humides. Ce genre d’information nous permettrait également de mieux connaître les facteurs qui assurent la régulation de
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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 | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.023 | 0.002 |
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".