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Record W2129936787 · doi:10.1080/02772240903109092

Effect of temperature, salinity, pH and naphthalene on ethoxyresorufin-<i>O</i>-deethylase activity of<i>Oreochromis mossambicus</i>

2010· article· en· W2129936787 on OpenAlex
C. Amutha, P. Subramanian

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueToxicological & Environmental Chemistry Reviews · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Toxicology and Ecotoxicology
Canadian institutionsnot available
FundersMinistry of Earth SciencesMcMaster University
KeywordsNaphthaleneOreochromis mossambicusSalinityChemistryEnvironmental chemistryBioindicatorHydrocarbonPolycyclic aromatic hydrocarbonTilapiaFish <Actinopterygii>EcologyBiologyOrganic chemistryFishery

Abstract

fetched live from OpenAlex

Hepatic ethoxyresorufin-O-deethylase (EROD) activity of Oreochromis mossambicus was examined in response to naphthalene, a polycyclic aromatic hydrocarbon (PAH) as a bioindicator of exposure. This study also examined the effects of varying water parameters such as salinity, temperature, and pH on this fish model. Temperature, salinity, and pH produced cyclic changes in EROD activity which increases and/or decreases. After exposure to lower naphthalene concentrations up to 6 ppm, no marked change in activity was noted, whereas at higher concentrations EROD activity was increased. Data suggest that EROD measurement may be useful as a potential biomarker for the detection of hydrocarbon pollution.

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.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.000

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 head0.010
GPT teacher head0.262
Teacher spread0.251 · 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