MétaCan
Menu
Back to cohort
Record W7038736209

An investigation of benthic recovery and climate change resilience in the Englishman River estuary

2018· article· en· W7038736209 on OpenAlexaboutno aff

Bibliographic record

VenueWestern CEDAR (Western Washington University) · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsnot available
Fundersnot available
KeywordsBenthic zoneEstuaryHabitatClimate changeBenthosBermEcosystemVegetation (pathology)
DOInot available

Abstract

fetched live from OpenAlex

SNAPSHOT: A benthic monitoring program will be added in 2018 to the ongoing Englishman River Estuary recovery study, situated on the east coast of Vancouver Island. This will complement investigations which have been ongoing, prior to and following the removal of a berm during 2017. Changes in salinity patterns, flow regimes, channel morphology, elevation, sediment size, and vegetation distribution are being assessed and these variables will be used to map distinctive areas of the estuary. Benthic samples will be collected from representative areas and monitored over the long term. Relative and total abundance, species diversity, biomass, and various derivatives of these data, such as mean body weight, dominant faunal groups by weight and abundance, and species diversity/richness indices will be used to assess changes in the benthos following berm removal, and to determine community resiliency to climate change. The study will be used to develop protocol for a BC coastal wide estuary monitoring program investigating ecosystem resilience to climate change. It is being led by members of the West Coast Conservation Land Management Program and is supported by The Nature Trust of BC, The Habitat Conservation Trust Foundation, Ducks Unlimited, Ministry of Forests, Lands, Natural Resource Operations and Rural Development, Environment and Climate Change Canada, Fisheries and Oceans Canada, BC Conservation Foundation and stewardship groups.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.017
Threshold uncertainty score0.720

Codex and Gemma teacher scores by category

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

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 head0.032
GPT teacher head0.226
Teacher spread0.194 · 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 teacher head, 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
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueWestern CEDAR (Western Washington University)Same topicHemiptera Insect StudiesFrench-language works237,207