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Record W1988155544 · doi:10.1021/cr500667e

Mercury Physicochemical and Biogeochemical Transformation in the Atmosphere and at Atmospheric Interfaces: A Review and Future Directions

2015· review· en· W1988155544 on OpenAlexafffundabout
Parisa A. Ariya, Marc Amyot, Ashu Dastoor, Daniel A. Deeds, Aryeh Feinberg, Gregor Kos, Alexandre J. Poulain, Andrei Ryjkov, K. Semeniuk, Mahamud Subir, K. Toyota

Bibliographic record

VenueChemical Reviews · 2015
Typereview
Languageen
FieldEnvironmental Science
TopicMercury impact and mitigation studies
Canadian institutionsUniversity of OttawaTransCanada (Canada)Environment and Climate Change CanadaUniversité de Montréal
FundersEnvironment CanadaNatural Sciences and Engineering Research Council of Canada
KeywordsAtmospheric researchLibrary scienceMarie curieCitationBiogeochemical cyclePolitical scienceChemistryGeographyMeteorologyComputer scienceEnvironmental chemistryBusiness

Abstract

fetched live from OpenAlex

IntroductionMercury is a fascinating fluid metal that exists as liquid at 25 °C (0 °C = 273 K).This silver colored d-block heavy metal exhibits noble-gas-like characteristics and solidifies at a temperature of -38.83 °C.(1)Elemental mercury is the only metal that is liquid at room temperature and has an "ideal" high-energy surface.The average surface tension value of mercury based on different experimental measurements is 466 ± 33 mN m -1 .(2)Due to the versatility of mercury, it is used as a catalyst, as an electrode material in electrochemistry, in optical spectroscopy, as reflective liquid in liquid mirror telescopes, and in medicine, e.g., as amalgam in dental fillings.Yet, due to the varying, but significant, acute and chronic toxicity of mercury compounds, its usage has been of recent concern.Among single events with a large number of human casualties were the Minamata incident due to the release of highly toxic MeHg in the industrial wastewater from the 1930s to the 1960s in Minamata, Japan, and, in 1971 the Iraqi disaster, where organo-mercury fungicide treated seed grains were consumed by humans.Medical symptoms of mercury poisoning vary from parathesia to ataxia, loss of vision, insanity, paralysis coma, congenital deformities affecting fetuses, and death.(3)Because of the urgency to limit mercury related disasters, in 2013 an international treaty was signed by 128 countries, to control and "where feasible" reduce atmospheric emissions from point source categories (e.g., coal fired power plants and smelters).The treaty also called for additional mercury research.(4)The atmosphere is the fastest moving fluid in the Earth's environment.Many mercury species have appreciable vapor pressures at Earth surface temperatures, allowing them to enter the atmosphere and, depending on the mercury species involved, undergo long-and short-range transport, atmospheric physical and chemical transformation, as well as feedback with Earth's surface (see Figure 1), which is the main subject of this review paper.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.037
GPT teacher head0.319
Teacher spread0.281 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations457
Published2015
Admission routes3
Has abstractyes

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