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Record W2978439027

Effect of nanosilver particles on metabolism and cortisol release in rainbow trout (Oncorhynchus mykiss)

2015· dissertation· en· W2978439027 on OpenAlexfundno aff
Laura Murray

Bibliographic record

VenueMspace (University of Manitoba) · 2015
Typedissertation
Languageen
FieldMaterials Science
TopicNanoparticles: synthesis and applications
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRainbow troutRainbowTroutChemistryFisheryFish <Actinopterygii>BiologyPhysicsOptics
DOInot available

Abstract

fetched live from OpenAlex

Nanosilver (nAg) is a nanoparticle incorporated into products for its antimicrobial properties that causes diverse toxic effects. This study investigated the effects of nAg on metabolic rate and stress response in rainbow trout (Oncorhynchus mykiss Walbaum 1792). Fish were exposed to environmentally-relevant concentrations of nAg (average 0.28 μg l-1) and higher (average 47.60 μg l-1) for 28 days (d). Measurements of cortisol, growth, condition (K), and hepatosomatic index (HSI) were analyzed, as well as metabolic measurements. Cortisol concentrations were higher in all nAg exposures, and were significantly elevated in high exposures. No significant effects of nAg exposure were observed on metabolic variables, growth or condition. There was a significant effect of time and treatment on HSI, but no discernible trend. There was also a significant increase in cortisol in fish measured for metabolic variables. Overall nAg was seen to engage the stress response, but not affect metabolism or morphometric measures.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.175
Threshold uncertainty score0.980

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 studies0.0000.000
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 head0.011
GPT teacher head0.231
Teacher spread0.220 · 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 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

Citations2
Published2015
Admission routes1
Has abstractyes

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