MétaCan
Menu
← Back to cohort
Record W4245190597 · doi:10.22215/etd/2015-11116

Conservation genetics and habitat characteristics of Few-flowered Club-rush (Trichophorum planifolium (Spreng.) Palla), an endangered woodland sedge in Canada

2015· dissertation· en· W4245190597 on OpenAlexaboutno aff
Victoria J. Nowell

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsGenetic diversityEndangered speciesConservation geneticsEcologyBiologyWoodlandRange (aeronautics)InbreedingPopulationInbreeding depressionExtinction (optical mineralogy)Small population sizeGeographyHabitatMicrosatelliteDemography

Abstract

fetched live from OpenAlex

Trichophorum planifolium, like many Canadian species-at-risk, reaches the northern extent of its range in Canada, but is common farther south in the United States. Peripheral populations may be important sources of adaptive and evolutionary potential, possessing unique genetic diversity and/or adaptations to local conditions. However, such populations are typically small and isolated and may therefore be susceptible to extinction. Using microsatellite markers, we compared the level and spatial distribution of genetic diversity and environmental characteristics between the Canadian and American populations of T. planifolium. Overall, low diversity and high inbreeding were detected, with all populations exhibiting comparable levels. This suggests inbreeding depression is not limiting recruitment in the Canadian population, as previously hypothesized. We also found high differentiation between populations and unique environmental conditions at the northern range margin. Consequently, efforts to bolster genetic diversity in the Canadian population are not presently warranted and should be avoided in the future.

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 score0.036
Threshold uncertainty score0.072

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 communication0.0000.000
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 head0.017
GPT teacher head0.207
Teacher spread0.190 · 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
Published2015
Admission routes1
Has abstractyes

Explore more

Same topicForest Ecology and Biodiversity Studies→French-language works237,207→