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Record W4313529005 · doi:10.1016/j.seares.2023.102335

Environmental and human health risk assessment of polycyclic aromatic hydrocarbons in the Musa estuary (northwest of Persian Gulf), Iran

2023· article· en· W4313529005 on OpenAlex
Zeinab Zoveidadianpour, Babak Doustshenas, Juan José Alava, Ahmad Savari, Fatemeh Karimi

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Sea Research · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsUniversity of British Columbia
FundersKhorramshahr University of Marine Science and Technology
KeywordsEstuaryEnvironmental chemistrySedimentFish <Actinopterygii>Environmental scienceChemistryBiologyFishery

Abstract

fetched live from OpenAlex

A comprehensive investigation of PAHs' occurrence and distribution in the water, sediment, and fish samples of Musa estuary was conducted. Concentrations of 16 PAHs in water, sediment and two commercial fish ranged from 0.14 to 0.66 ng/l, 67.21 to 82.92 ng/g dw, 50.25 to 99.39 ng/g fdw in J. belangerii, and 40.14 to 76.93 ng/g fdw in B. orentalis, respectively. High molecular weight PAHs (HMW-PAHs) were generally predominant compared to low molecular weight PAHs (LMW-PAHs). Additionally, the study of the PAHs fingerprints, using specific ratios, suggests the predominance of a pyrolytic origin for observed PAHs. 4-ring PAHs were observed more in the two species, whereas the PAHs in sediments were dominated by three and five ring compounds. The Incremental lifetime Cancer Risk (ILCR) for fish was ≤10 E 10−5, showed a minimal possible risk of cancer for children and adult.

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)0.006
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 score0.089
Threshold uncertainty score0.333

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.044
GPT teacher head0.366
Teacher spread0.322 · 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