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Record W6959786533 · doi:10.1021/es025931k.s001

Distribution and Early Diagenesis of\nAntimony Species in Sediments and\nPorewaters of Freshwater Lakes

2016· article· en· W6959786533 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicSesame and Sesamin Research
Canadian institutionsnot available
Fundersnot available
KeywordsManganeseDiagenesisSulfideAntimonyRedoxSedimentSolubilitySeawaterIron sulfide

Abstract

fetched live from OpenAlex

The study identifies the role played by different components\nof natural aquatic systems on the poorly known geochemistry of antimony. Different chemical forms of antimony were\nmeasured in porewaters and sediments of two Sudbury\nlakes characterized by contrasting redox conditions at the\nsediment−water interface. In porewaters, Sb(III) was\npresent under reducing conditions where it could exist as\nSbS<sub>2</sub><sup>-</sup> according to thermodynamic calculations. Sb(V)\nwas detected mainly under oxic and mildly reducing\nenvironments where its presence was attributed to the\noxidizing effect of iron and manganese oxyhydroxides or\nto the slow kinetics of reduction by dissolved sulfide or possible\ncomplexation by it. A third form of Sb identified as\nrefractory was obtained after UV irradiation of the water\nsamples, suggesting an association of Sb to low molecular\nweight natural organic matter. The distribution of Sb in\nsediments of the two lakes revealed (through the comparison\nof profiles and statistical correlations) the importance of\niron and manganese oxyhydroxides in controlling the behavior\nof Sb, particularly in the lake where the interface was\nclearly oxic. Porewater profiles indicate that the dissolution\nof manganese and iron oxyhydroxides under anoxic\nconditions leads to the simultaneous release of dissolved\nSb previously sorbed onto those compounds. In reducing\nsediments, the control of the solubility of Sb by iron sulfides\nis suggested.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0090.000

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 head0.045
GPT teacher head0.235
Teacher spread0.190 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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