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Record W2304228215 · doi:10.5376/ijms.2016.06.0002

Polycyclic Aromatic Hydrocarbons (PAHs) in Sediment Samples from Euphrates River, Iraq

2016· article· en· W2304228215 on OpenAlexvenueno aff

Bibliographic record

VenueInternational Journal of Marine Science · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicToxic Organic Pollutants Impact
Canadian institutionsnot available
Fundersnot available
KeywordsSedimentEnvironmental scienceEnvironmental chemistryHydrology (agriculture)GeologyChemistryGeomorphology

Abstract

fetched live from OpenAlex

Sediment samples were collected from four selected sites along the Euphrates river near Al-Nassyira city south of Iraq during summer2012 to winter 2013, sixteen PAHs listed by USEPA as priority pollutants were detected.The total of PAHs was ranged from 0.197 ng/g dry weight in summer at station 1 to 80.006 ng/g dry weight in winter at station 3. The LMW/HMW, Flouranthene/Pyrene and Phenanthrene /Anthracene ratio indicated that the source of PAHs was pyrogenic Whereas BaA/(BaA+Chry) ratio indicated that the source of PAHs was pyrogenic and at least petrognic. The highest value TOC % were 1.91% at station 3 in winter while the lowest value were 0.73% at station 1 in summer. The study shows that there is a significant correlations between TOC%, grain size in the sediment with concentration of PAH. The present study indicated that hydrocarbons exist in the study area, but its levels were in acceptable range.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
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 head0.250
Teacher spread0.239 · 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 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

Citations4
Published2016
Admission routes1
Has abstractyes

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Same venueInternational Journal of Marine ScienceSame topicToxic Organic Pollutants ImpactFrench-language works237,207