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Record W2724107031 · doi:10.5376/ijms.2017.07.0026

Mercury Fractionation in the Sediments of Kongsfjorden, an Arctic Fjord, Svalbard

2017· article· en· W2724107031 on OpenAlex
Mahesh Mohan, Chandini P.K., K. P. Krishnan, Gopikrishana V.G., Sajinkumar K.S., Kannan V.M.

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.

venuePublished in a venue whose home country is Canada.
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

VenueInternational Journal of Marine Science · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsnot available
Fundersnot available
KeywordsFjordMercury (programming language)ArcticOceanographyThe arcticFractionationGeologyEnvironmental scienceChemistry

Abstract

fetched live from OpenAlex

The presence of mercury (Hg) is increasing in Arctic region and the Arctic sea will take short time to reflect changes in atmospheric Hg levels. Hence, monitoring of mercury content in the environmental matrices of Arctic is highly significant. The present study assessed the total mercury (THg) as well as various Hg fractions in the sediments of Kongsfjorden, an Arctic Fjord in Svalbard. The Hg toxicity mainly depends on the form which occurs. Fractionation study will help to understand the different forms of Hg in sediment samples. The mean concentration of THg in sediment was 485 ng/gm dry weight. The results of fractionation indicated the mobility of Hg in the Kongsfjord sediments. The highest percentage of Hg was in fourth fraction (F4) followed by the fractions F2, F1, and F3 and final fraction (F5). The high Hg concentration in the initial fractions indicated the availability of Hg for chemical and biological transformations and transport in the Fjord. Hence potential toxic effects are possible in the system.

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)0.001
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 score0.072
Threshold uncertainty score0.524

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.002
Open science0.0020.000
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 head0.025
GPT teacher head0.339
Teacher spread0.314 · 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