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Record W2620699393 · doi:10.2113/gselements.13.3.159

Mineral Surface Coatings: Environmental Records at the Nanoscale

2017· article· en· W2620699393 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueElements · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicBuilding materials and conservation
Canadian institutionsLaurentian University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCitationIconDownloadLibrary scienceArchaeologyHistoryWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

Research Article| June 01, 2017 Mineral Surface Coatings: Environmental Records at the Nanoscale Michael Schindler; Michael Schindler 1 Department of Earth Sciences Laurentian University Sudbury, Ontario P3E 2C6, Canada E-mail: mschindler@laurentian.ca Search for other works by this author on: GSW Google Scholar David M. Singer David M. Singer 2 Department of Geology Kent State University Kent, Ohio 44242, USA E-mail: dsinger4@kent.edu Search for other works by this author on: GSW Google Scholar Author and Article Information Michael Schindler 1 Department of Earth Sciences Laurentian University Sudbury, Ontario P3E 2C6, Canada E-mail: mschindler@laurentian.ca David M. Singer 2 Department of Geology Kent State University Kent, Ohio 44242, USA E-mail: dsinger4@kent.edu Publisher: Mineralogical Society of America First Online: 29 Nov 2017 Online Issn: 1811-5217 Print Issn: 1811-5209 Copyright © 2017 by the Mineralogical Society of AmericaMineralogical Society of America Elements (2017) 13 (3): 159–164. https://doi.org/10.2113/gselements.13.3.159 Article history First Online: 29 Nov 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Michael Schindler, David M. Singer; Mineral Surface Coatings: Environmental Records at the Nanoscale. Elements 2017;; 13 (3): 159–164. doi: https://doi.org/10.2113/gselements.13.3.159 Download citation file: Ris (Zotero) Refmanager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search All ContentBy SocietyElements Search Advanced Search Past and present (a)biotic soil processes can be preserved by mineral surface coatings, which can sequester contaminants in soils and sediments. The coatings can contain complex assemblages of nanometer-size minerals and organic components. The formation, composition, and morphology of these complex mineral assemblages depend on, and hence reflect, the mineralogical and chemical composition of the substrate they develop on and the environmental factors in the surrounding soils and sediments. Mineral surface coatings typically contain complex and variable porosities, many with regions of limited fluid flow. Low-flow conditions, combined with different nanometer-size phases in the interior of mineral surface coatings, allow coatings to sequester contaminant-bearing solutes, complexes, and nanoparticles. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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)0.000
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 score0.034
Threshold uncertainty score0.996

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0050.000

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 head0.016
GPT teacher head0.217
Teacher spread0.200 · 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