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Record W6889754268 · doi:10.26071/222629b6-c7a2-4580

Profiling Accumulated PAHs and Metabolomic Responses in Truncate Soft-Shell Clam (Mya truncata) in the Canadian Arctic

2025· dataset· en· W6889754268 on OpenAlexaffabout

Bibliographic record

VenueOGSL repository · 2025
Typedataset
Languageen
Field
Topic
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsArcticEcosystemShellfishContaminationRuditapesThe arcticOysterPollutionInlet

Abstract

fetched live from OpenAlex

This dataset included contaminant data of polycyclic aromatic hydrocarbons (PAHs) and a variety of metabolites measured in truncate softshell clams (Mya truncata) collected near Iqaluit, Canada. Clams were hand collected during extreme low tide from two locations (n = 10) in Koojesse Inlet in August 2022. Samples were collected to determine the extent of PAH contamination in the region and the possible impacts it would have on clam populations as well as local communities that rely upon this species as a locally harvested food source. In total, 52 alkylated and non-alkylated PAHs were assessed in clam whole bodies, including the US Environmental Protection Agency’s 16 priority PAHs. 51 metabolites were assessed in both the mantle and gills, and all clams were assessed for length, width, thickness, body mass and body condition. This study was performed as a follow-up to a previous study of clams from the same locations performed in 2019 that investigated growth, biomarker responses and accumulation of inorganic elements in response to municipal wastewater exposure. This project is part of the Coastal Environmental Baseline Program Initiative under the Oceans Protection Plan of Fisheries and Oceans Canada and is funded through the Ecosystems and Oceans Science Contribution Framework.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.292
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.000
Research integrity0.0010.003
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 head0.021
GPT teacher head0.285
Teacher spread0.265 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2025
Admission routes2
Has abstractyes

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