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Record W4243466333 · doi:10.1520/stp37671s

Contamination of Sediments and Proposed Containment Technique in a Wood Pool in Shimizu, Japan

2006· book-chapter· en· W4243466333 on OpenAlexaboutno aff
M Fukue, Y Sato, K Uehara, Y Kato, Y Furukawa

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldEnergy
TopicEnergy, Environment, Agriculture Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsContainment (computer programming)ContaminationEnvironmental scienceWaste managementEnvironmental chemistryChemistryEngineeringComputer scienceBiologyEcology

Abstract

fetched live from OpenAlex

The objective of this study is to evaluate the contamination of sediments, in order to determine a remediation method for a local bay bottom. To achieve this, 12 surface-sediment samples were obtained from a wood pool located in the inner part of Shimizu Port, Japan, and were subjected to physical and chemical analyses. The results show that the concentrations of the heavy metals measured were relatively high. The concentrations of copper and zinc in the sediment samples were higher than the probable effect levels of marine sediments provided by the Canadian Sediment Quality Guidelines. The high concentrations obtained are probably due to the high organic content resulting from humus. The separation of organic matter might be useful as a remediation technique for dredged materials. A containment technique for dredged sediments using permeable bags is therefore proposed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

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)0.0010.000

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 head0.005
GPT teacher head0.192
Teacher spread0.187 · 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

Citations6
Published2006
Admission routes1
Has abstractyes

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