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Record W2022283936 · doi:10.1080/10807030601107171

Selenium Thresholds for Fish from Cold Freshwaters

2007· article· en· W2022283936 on OpenAlex
Peter M. Chapman

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.

Bibliographic record

VenueHuman and Ecological Risk Assessment An International Journal · 2007
Typearticle
Languageen
FieldNursing
TopicSelenium in Biological Systems
Canadian institutionsGolder Associates (Canada)
FundersU.S. Environmental Protection Agency
KeywordsEnvironmental scienceWater qualityRainbow troutFish <Actinopterygii>FisherySeleniumPikeEnvironmental protectionEcologyBiologyChemistry

Abstract

fetched live from OpenAlex

ABSTRACT A review of reproductive effects studies with cold-water fish species including trout (cutthroat, brook, rainbow), white sucker, and northern pike indicates that they have higher tolerances to selenium taken up via dietary sources than warm-water fish species. The USEPA (2004) USEPA (U.S. Environmental Protection Agency). 2004. Draft Aquatic Life Water Quality Criteria for Selenium—2004, Washington, DC, , USA: Office of Water. EPA-822-D-04-001 [Google Scholar] draft Se tissue criterion of 7.9 mg/kg dw will provide a conservative level of protection for these cold-water fish species. However, site- and species-specific studies are required to set realistically protective upper guideline values.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.907

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 studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.038
GPT teacher head0.362
Teacher spread0.324 · 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