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Record W2271302620 · doi:10.2166/wqrjc.2014.130

Detection of food limitation in health of white sucker (Catostomus commersoni) 5 years after the closure of a bleached kraft pulp mill

2014· article· en· W2271302620 on OpenAlexafffundabout
Tim J. Arciszewski, Mark E. McMaster, Cam B. Portt, Kelly R. Munkittrick

Bibliographic record

VenueWater Quality Research Journal · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsEnvironment and Climate Change CanadaUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Electricity AssociationMinistry of Natural Resources
KeywordsCatostomusSuckerPulp millMillPulp (tooth)Closure (psychology)Kraft processBiologyEnvironmental scienceFish <Actinopterygii>FisheryToxicologyPulp and paper industryEffluentEngineeringKraft paperZoologyEnvironmental engineeringMedicine

Abstract

fetched live from OpenAlex

Recovery of fish after implementing better management of effluent or following the closure of pulp mills is not well studied. Results from existing studies suggest the predominant responses observed during the operation of mills would predict a pathway of recovery, but this hypothesis has not been tested at mills with variable effects on fish. Multiple studies done at a mill in northern Ontario showed variable responses in white sucker (Catostomus commersoni), including effects on reproductive endpoints. Data from most years failed, however, to meet strict definitions of response patterns used in Environmental Effects Monitoring. After the permanent closure of the mill in 2006, white sucker were collected in 2011 to determine the status of fish. We predicted that no effects would be observed in white sucker after the mill's closure. Five years after the closure of the mill, however, female white sucker showed statistical food limitation. Males showed a similar trend, but fewer statistical differences. These changes, coupled with reduced catch rates, have not been previously observed downstream of this mill. Our results suggest that recovery of fish after the closure of mills may not be clearly associated with effects found during operation. The absence of recovery after closure may more broadly suggest relevance of effects of operational mills.

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 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)0.010
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 score0.022
Threshold uncertainty score0.374

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.062
GPT teacher head0.339
Teacher spread0.277 · 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 teacher head, 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

Citations8
Published2014
Admission routes3
Has abstractyes

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