MétaCan
Menu
Back to cohort
Record W6892193651 · doi:10.5066/p14umzwu

Mercury concentrations in amphibian tissues and egg masses, fish tissues and sediment in subarctic, freshwater systems near Churchill, Manitoba, 2015-2019

2024· dataset· en· W6892193651 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

VenueUSGS DOI Tool Production Environment · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsChurchill Northern Studies Centre
Fundersnot available
KeywordsAmphibianMercury (programming language)SedimentBiomeMethylmercuryFish <Actinopterygii>

Abstract

fetched live from OpenAlex

Comma-separated values (.csv) files containing data related to amphibian, fish, and sediment sampling near Churchill, Manitoba between 2015-2019. Data files contain mercury concentrations in amphibian and fish tissues, amphibian egg masses, and sediment, as well as amphibian and fish morphometrics, life stage, site distance to coast and biome where the samples were collected.

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 score0.078
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.005

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 head0.011
GPT teacher head0.237
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

Quick stats

Citations1
Published2024
Admission routes2
Has abstractyes

Explore more

Same venueUSGS DOI Tool Production EnvironmentFrench-language works237,207