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Record W2510537553 · doi:10.1139/cjz-2016-0013

The physiology of juvenile shortnose sturgeon (<i>Acipenser</i> <i>brevirostrum</i>) during an acute saltwater challenge

2016· article· en· W2510537553 on OpenAlexaffvenue
Adam T. Downie, James D. Kieffer

Bibliographic record

VenueCanadian Journal of Zoology · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsUniversity of New Brunswick
Fundersnot available
KeywordsBrackish waterSeawaterJuvenileSalinityBiologyAcipenserAnimal scienceOsmoregulationFisheryAcute exposureSturgeonZoologyFish <Actinopterygii>EcologyEndocrinology

Abstract

fetched live from OpenAlex

One-year-old shortnose sturgeons (Acipenser brevirostrum LeSueur, 1818) were exposed to seawater (32 ppt) and brackish water (16 and 24 ppt) for 12, 24, 48, and 72 h and % body mass loss, plasma ions, energy metabolites, and oxygen-carrying variables were measured to evaluate survival and the physiological response to the acute salinity challenges. Survival in seawater was poor and plasma ion concentration was elevated in seawater. In sturgeons exposed to 24 ppt brackish water, ion concentrations remained elevated for 48 h, but began to decrease by 72 h. Fish exposed to 16 ppt brackish water did not show significant changes in ion concentrations over the 72 h period. Exposure to 32 ppt seawater resulted in significant and large decreases in body mass (about 20%–25%), whereas body mass loss was significantly less in fish exposed to 16 and 24 ppt brackish water. Overall, these findings suggest that juvenile sturgeons are able to tolerate lower salinities well but are less capable to endure higher salinities even on the short term (>48 h). These results suggest that juvenile A. brevirostrum could inhabit brackish environments earlier than previously expected, and that there appears to be a threshold at which salinity becomes a significant stress to these animals.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

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 integrity0.0000.001
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 head0.007
GPT teacher head0.199
Teacher spread0.191 · 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 designBench or experimental
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

Citations10
Published2016
Admission routes2
Has abstractyes

Explore more

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