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Distribution of heavy metals and organic in the clam culture areas at Binh Dai, Ba Tri, Thach Phu in Ben Tre province

2019· article· en· W3031798766 on OpenAlexaboutno aff
Le Trong Dung, Le Hung Phu, Pham Hong Ngoc, Đào Việt Hà

Bibliographic record

VenueVietnam Journal of Marine Science and Technology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Pollution Assessment
Canadian institutionsnot available
Fundersnot available
KeywordsNitric acidSedimentEnvironmental chemistryHeavy metalsMetalChemistryOrganic matterMineralogyGeologyInorganic chemistryGeomorphology

Abstract

fetched live from OpenAlex

The paper presents the contents of metals and organic in the surface sediments (5–10 cm) at the submerged clam culture areas in Ben Tre province. The metal samples were digested by nitric acid 10% and analyzed by ICP-MS method, total organic matters (HC) were determined by the burning method at 500oC. The results showed that the content of Zn ranged from 22.4 to 48.1 µg/g, Cu: 3.3–25.1 µg/g, Pb: 7.3–27.8 µg/g, As: 1.1–4.7 µg/g, Cd: 0.1–0.4 µg/g, Ni: 8.3–4.5 µg/g, Co: 7.3–11.9 µg/g, Cr: 5.8–15.3 µg/g, Fe: 0.8–1.74 µg/g and organic: 1.2–8.4%. The contents of all elements in the sediment in the canals were much higher than in the clam culture areas at the river mouths. The concentrations of metals in clam culture areas were lower than threshold effect levels (TEL) according to Canadian standards.

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)0.002
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 score0.057
Threshold uncertainty score0.258

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 science0.0000.000
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 head0.007
GPT teacher head0.238
Teacher spread0.231 · 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 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

Citations1
Published2019
Admission routes1
Has abstractyes

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