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Record W2343292425 · doi:10.1139/cjfas-2016-0083

Physiological effects of short- and long-term exposure to elevated carbon dioxide on a freshwater mussel, <i>Fusconaia flava</i>

2016· article· en· W2343292425 on OpenAlexvenueno aff
Kelly D. Hannan, Jennifer D. Jeffrey, Caleb T. Hasler, Cory D. Suski

Bibliographic record

VenueCanadian Journal of Fisheries and Aquatic Sciences · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Acidification Effects and Responses
Canadian institutionsnot available
Fundersnot available
KeywordsHemolymphCarbon dioxideMusselAnimal scienceBiologyChemistryEcology

Abstract

fetched live from OpenAlex

Zones of elevated carbon dioxide (CO 2 ) have the potential to deter the movement of fishes. Should CO 2 be used as a barrier, non-target organisms, such as freshwater mussels, have the potential to be impacted. In this study, the physiological responses of adult Fusconaia flava exposed to elevated partial pressures of CO 2 (pCO 2 ) over both short-term (6 h exposure with 6 h recovery) and long-term (4-, 8-, and 32-day exposure) periods were measured. A 6 h exposure to either ∼15 000 μatm (1 atm = 101.325 kPa) or ∼200 000 μatm caused an elevation in hemolymph Ca 2+ . Exposure to ∼200 000 μatm resulted in a decrease in hemolymph Cl − , and exposure to ∼15 000 μatm caused an increase in hemolymph Na + , whereas ∼200 000 μatm caused a decrease. Exposure to elevated pCO 2 for long-term periods caused a decrease in hemolymph Mg 2+ and an initial increase in hemolymph Ca 2+ . Body condition and hemolymph glucose were not significantly influenced by elevated pCO 2 for both experiments. This study shows that elevated pCO 2 had limited impacts on the physiological responses of adult freshwater mussels.

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)0.000
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 score0.065
Threshold uncertainty score0.694

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.015
GPT teacher head0.207
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 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

Citations16
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueCanadian Journal of Fisheries and Aquatic SciencesSame topicOcean Acidification Effects and ResponsesFrench-language works237,207