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Record W6908577500 · doi:10.26071/ogsl-d3d5f1fa-a4d7

Sedimentary Records of Contaminant Inputs in Frobisher Bay, Nunavut (2017-2018)

2023· dataset· en· W6908577500 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueOGSL repository · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsEnvironment and Climate Change CanadaUniversity of Manitoba
Fundersnot available
KeywordsSedimentBaySedimentary rockMercury (programming language)InletSediment coreContamination

Abstract

fetched live from OpenAlex

This dataset includes geochemical and contaminant data measured in surface sediments and sections of sediment cores collected from Koojesse Inlet and other locations in Frobisher Bay, Nunavut. Sediment cores and surface sediment were collected throughout Koojesse Inlet in 2017 by the Canada-Nunavut Geoscience Office aboard MV Nuliajuk vessel. Sediment cores were collected from inner and outer Frobisher Bay in 2018 by University of Manitoba researchers onboard the CCGS Amundsen icebreaker. Geochemical parameters measured in sediment core samples included radioisotopes (210Pb and 137Cs), carbon and nitrogen content, and stable isotopes (δ13C and δ15N). Contaminants measured in selected sediment sections included total mercury (THg), major and trace elements, polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), and per and polyfluoroalkyl substances (PFASs). This project is part of the Coastal Environmental Baseline Program under the Oceans Protection Plan of Fisheries and Oceans Canada.

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.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.011
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.011

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 head0.018
GPT teacher head0.262
Teacher spread0.245 · 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

Quick stats

Citations0
Published2023
Admission routes2
Has abstractyes

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