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Record W4401234320 · doi:10.1007/s11273-024-10002-7

Wetland water quality in the Athabasca Oil Sands Region and its relationship to aquatic invertebrate communities: pilot phase monitoring results

2024· article· en· W4401234320 on OpenAlexafffundabout
Stephanie J. Connor, Justin R. Hanisch, Danielle Cobbaert

Bibliographic record

VenueWetlands Ecology and Management · 2024
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental DNA in Biodiversity Studies
Canadian institutionsUniversity of CalgaryGovernment of Alberta
FundersGovernment of Alberta
KeywordsOil sandsWetlandInvertebrateEnvironmental scienceWater qualityHydrology (agriculture)GeologyEcologyGeographyArchaeologyGeotechnical engineering

Abstract

fetched live from OpenAlex

Abstract Wetlands in the Oil Sands Region of Alberta are vulnerable to direct and indirect effects of human development including land disturbance, hydrologic alteration, and addition of contaminants. Nineteen wetlands in the Athabasca Oil Sands Region were monitored over a five-year period to evaluate differences in water quality and benthic invertebrate composition between sites near to and further afield from surface mining operations. Concentrations of dissolved sulphate, dissolved iron, total dibenzothiophenes and specific conductance were significantly higher in wetlands near to surface mining operations. In addition, beta diversity of wetland invertebrates was higher in wetlands further afield of the industrial centre. Drivers of benthic assemblage differences among sites include specific conductance and pH. Conductance was positively correlated with Caenidae (Ephemeroptera) abundance and pH was negatively correlated with abundance of Naididae (Annelida).

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)0.001
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 score0.008
Threshold uncertainty score0.365

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.055
GPT teacher head0.282
Teacher spread0.226 · 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

Citations1
Published2024
Admission routes3
Has abstractyes

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