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Record W2977559838 · doi:10.5539/ep.v8n2p21

The Comparison of Acute Toxicity (96h) of Copper (CuSO4) in Cyprinus Carpio and Rutilus Rutilus

2019· article· en· W2977559838 on OpenAlexvenueno aff
Mohamad Farhangi, Hojatolah Jafaryan

Bibliographic record

VenueEnvironment and Pollution · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsnot available
FundersGonbad Kavous University
KeywordsRutilusCyprinusBiologyAnimal scienceToxicityNecrosisFisheryFish <Actinopterygii>Internal medicineMedicine

Abstract

fetched live from OpenAlex

The experiments were conducted to study of the acute toxicity of Cyprinus carpio and Rutilus rutilus by added copper salt in basins. 13 fishes with average weight of 2&amp;plusmn;0.5g to Rutilus rutilus and 20&amp;plusmn;2.2g Cyprinus carpio were exposed to different concentrations of copper salt respectively. The experiments were done by Static Method during 96 hours. A group of fish was considered as control samples. The different concentrations of copper such as 0, 0.1, and 0.2, 0.3, 0.4, 0.45 and 5mgL-1 were used to Rutilus rutilus and Cyprinus carpio fishes. Under stable condition (TOC and pH), the lethal concentration of copper was measured of 0.4mgL-1 and 0.45mgL-1 to Rutilus rutilus and Cyprinus carpio respectively during of 96 hours. The results indicated the significant differences were observed between treatments of fish with each other and also with the control samples. With increasing of copper in each treatment, the mortality rate of fish significantly was increased. Histopathological findings showed that major lesions were hemorrhage, hyperemia, hyperplasia and epithelial cells necrosis in total fish. Also in the lesion fish were observed degenerated tubules of their kidney, expansion of Bowman&amp;#39;s capsule and hepatocytes necrosis.

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)0.0010.000
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)0.0020.000

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 head0.006
GPT teacher head0.226
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 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

Citations5
Published2019
Admission routes1
Has abstractyes

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