MétaCan
Menu
Back to cohort
Record W1995707227 · doi:10.1080/0269249x.2014.924437

A preliminary assessment of the effects of <i>Didymosphenia geminata</i> nuisance growths on the structure and diversity of diatom assemblages of the Restigouche River basin, Quebec, Canada

2014· article· en· W1995707227 on OpenAlexafffundabout
Carole‐Anne Gillis, Isabelle Lavoie

Bibliographic record

VenueDiatom Research · 2014
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsUniversité de MontréalInstitut National de la Recherche Scientifique
FundersNatural Sciences and Engineering Research Council of CanadaGroupe de recherche interuniversitaire en limnologie
KeywordsDiatomEcologyPeriphytonRiver ecosystemNuisanceStanding cropEcosystemBiomass (ecology)Community structureBiologyGeography

Abstract

fetched live from OpenAlex

In June 2006, blooms of Didymosphenia geminata (Lyngbye) M. Schmidt were observed for the first time in the Matapedia River, Quebec. This species can produce nuisance-level epilithic algal mats in oligotrophic rivers with stable flows. The lack of knowledge surrounding the potential impacts of nuisance growths on lotic ecosystems has raised concerns. Periphyton communities were sampled in three rivers of the Restigouche watershed to assess the effects of D. geminata nuisance growths on surrounding diatom assemblages. This study provides a preliminary assessment of the effect of D. geminata on the species composition of diatom assemblages and the influence of increased biofilm complexity on species diversity. Our results show that D. geminata mats have an effect on the structure and diversity of diatom assemblages. Conversely, we found no evidence that an increase in Standing Crop Index (SCI) further impacted diatom diversity or structure of these assemblages. This preliminary study contributes to the growing knowledge of the biology and impact of D. geminata in lotic environments.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.359
Threshold uncertainty score0.722

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.012
GPT teacher head0.272
Teacher spread0.260 · 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

Citations17
Published2014
Admission routes3
Has abstractyes

Explore more

Same venueDiatom ResearchSame topicDiatoms and Algae ResearchFrench-language works237,207