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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 OpenAlexaffabout

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.

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)0.001
metaresearch head score (Gemma)0.003
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: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.311
Threshold uncertainty score0.626

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.013
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0130.012

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

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
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
Published2023
Admission routes2
Has abstractyes

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