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Record W7037135029

Current-use pesticides affect development of early life stages and timing of alevin emergence in Sockeye salmon (Oncorhynchus nerka)

2014· other· en· W7037135029 on OpenAlexfundno aff

Bibliographic record

VenueSummit (Simon Fraser University) · 2014
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
FundersFisheries and Oceans Canada
KeywordsChlorothalonilPesticideHuman fertilizationAffect (linguistics)Atrazine
DOInot available

Abstract

fetched live from OpenAlex

The effects of two pesticides on Pacific sockeye salmon (Oncorhynchus nerka) exposed from fertilization to emergence were evaluated in a gravel-bed flume incubator, designed to simulate a natural streambed environment.Eggs were exposed to a commercial formulation of atrazine at 25 or 250 µg/L, and chlorothalonil at 0.5 or 5 µg/L, to examine effects on developmental success and timing, physical growth parameters, and biochemical indicators of growth.High chlorothalonil exposure reduced survival to hatch and increased finfold deformity incidence.All treatments resulted in reduced alevin condition factors at the time of emergence.Atrazine exposure resulted in premature hatch, while chlorothalonil exposure resulted in delayed hatch compared to controls.All treatment groups experienced premature emergence, highlighting the importance of using a gravel-bed incubator to examine this subtle but critical endpoint.These alterations in developmental success, timing and growth may alter survival of early life stages of sockeye salmon in the wild.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.028
GPT teacher head0.250
Teacher spread0.223 · 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

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