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Record W3033058582 · doi:10.1139/cjfas-2020-0026

Invertebrate colonization of a newly constructed diversion channel in the Canadian Shield

2020· article· en· W3033058582 on OpenAlexaffvenueabout
Andrew J. Chapelsky, Matthew M. Guzzo, Lee E. Hrenchuk, Paul J. Blanchfield

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of GuelphInternational Institute for Sustainable DevelopmentUniversity of ManitobaGovernment of CanadaFisheries and Oceans Canada
Fundersnot available
KeywordsRiparian zoneHabitatEcologyInvertebrateSpecies richnessChannel (broadcasting)BorealStream restorationBenthic zoneRiver ecosystemAbundance (ecology)WatershedEnvironmental scienceGeographyBiology

Abstract

fetched live from OpenAlex

Construction of artificial channels to divert water is common in a variety of natural resource development projects; however, the length of time required for these stream channels to become productive fish habitat remains an understudied aspect. The creation of a bedrock channel (∼150 m) to drain a third-order boreal lake and its watershed (∼300 ha) offered the unique opportunity to study colonization by comparing habitat and invertebrate metrics with a reference stream. The amount of riparian vegetation on the banks of the diversion channel steadily increased, but remained much lower than the reference stream after 5 years. The channel was quickly colonized by benthic macroinvertebrates, which were of comparable abundance to the reference stream starting in the first year, and thereafter were greater in abundance. Taxa diversity and richness responded more slowly, becoming similar to the reference stream after 3 years. Results from this study suggest that newly created, lake-outlet channels can become productive small stream habitats in a relatively short time period (<5 years) in southern boreal regions.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.433

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.020
GPT teacher head0.189
Teacher spread0.169 · 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

Citations4
Published2020
Admission routes3
Has abstractyes

Explore more

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