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Record W7096220800

91 Chapter 5 Aquatic Invertebrates of Prairie Wetlands: Community Composition, Ecological Roles, and Impacts of Agriculture

2013· article· en· W7096220800 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandInvertebrateBiodiversityHabitatTrophic levelFauna
DOInot available

Abstract

fetched live from OpenAlex

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

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.036
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0230.002

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.

Opus teacher head0.009
GPT teacher head0.182
Teacher spread0.173 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2013
Admission routes1
Has abstractyes

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