MétaCan
Menu
Back to cohort
Record W2603563575 · doi:10.1504/ijep.1991.028478

Contaminants in wildlife utilising confined disposal facilities

2014· article· en· W2603563575 on OpenAlexaboutno aff
R. Z. Dobos, David S. Painter, A. Mudroch

Bibliographic record

VenueInternational Journal of Environment and Pollution · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsWaterfowlBioaccumulationBayEnvironmental scienceFisheryWildlifeEnvironmental chemistryBiologyEcologyHabitatChemistryGeography

Abstract

fetched live from OpenAlex

Voles, shrews and aquatic plants from the Thunder Bay Confined Disposal Facility (CDF) and hatchery–reared ducks, released and recaptured four and 10 weeks after release, were analysed for heavy metals and polychlorinated biphenyls (PCBs). Metal concentrations in duck livers were comparable to our control site values and other reported studies. Metal concentrations in voles and shrews were similar to our control site values or other reported studies. Bioaccumulation of priority PCB congeners was observed in waterfowl muscle samples. Extrapolating our data to other Canadian CDFs in the Great Lakes, waterfowl at the Hamilton Harbour CDF would accumulate PCBs to concentrations greater than the USFDA poultry consumption guideline. Shrews bioaccumulated PCBs to concentrations 10 times higher than voles presumably due the dietary differences between the two species. PCBs concentrations in voles from the Thunder Bay CDF were approximately twice the control site concentrations.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.225
Teacher spread0.217 · 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
GenreEmpirical

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
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Environment and PollutionSame topicToxic Organic Pollutants ImpactFrench-language works237,207