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Record W2038151209 · doi:10.1130/g24135a.1

The Lake St. Martin bolide has a big impact on groundwater fluoride concentrations

2008· article· en· W2038151209 on OpenAlexaffabout
Matthew I. Leybourne, Jan M. Peter, Karen H. Johannesson, Daniel R. Boyle

Bibliographic record

VenueGeology · 2008
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGroundwater and Isotope Geochemistry
Canadian institutionsGeological Survey of Canada
Fundersnot available
KeywordsCitationIconHistoryGeological surveyDownloadLibrary scienceArt historyArchaeologyGeologyComputer scienceWorld Wide WebPaleontology

Abstract

fetched live from OpenAlex

Research Article| February 01, 2008 The Lake St. Martin bolide has a big impact on groundwater fluoride concentrations Matthew I. Leybourne; Matthew I. Leybourne 1GNS Science, P.O. Box 30-368, Lower Hutt, New Zealand Search for other works by this author on: GSW Google Scholar Jan M. Peter; Jan M. Peter 2Geological Survey of Canada, 601 Booth Street, Ottawa, ON K1A 0E8, Canada Search for other works by this author on: GSW Google Scholar Karen H. Johannesson; Karen H. Johannesson 3Department of Earth and Environmental Sciences, Tulane University, New Orleans, Louisiana 70118, USA Search for other works by this author on: GSW Google Scholar Daniel R. Boyle Daniel R. Boyle 4Geological Survey of Canada, 601 Booth Street, Ottawa, ON K1A 0E8, Canada Search for other works by this author on: GSW Google Scholar Geology (2008) 36 (2): 115–118. https://doi.org/10.1130/G24135A.1 Article history received: 31 May 2007 rev-recd: 21 Sep 2007 accepted: 01 Oct 2007 first online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn MailTo Tools Icon Tools Get Permissions Search Site Citation Matthew I. Leybourne, Jan M. Peter, Karen H. Johannesson, Daniel R. Boyle; The Lake St. Martin bolide has a big impact on groundwater fluoride concentrations. Geology 2008;; 36 (2): 115–118. doi: https://doi.org/10.1130/G24135A.1 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 SocietyGeology Search Advanced Search Abstract The majority of residents of Manitoba (Canada) outside of the capital, Winnipeg, rely on groundwater for their drinking water. Between lakes Winnipeg and Winnipegosis, most aquifers occur in Paleozoic carbonate lithologies. Proximal to the town of Gypsumville, however, lithologies associated with the Lake St. Martin impact structure and younger basin-filling red bed and evaporite (gypsum/anhydrite) sedimentary rocks complicate the hydrology and hydrochemistry. Here, domestic wells have elevated salinities (up to 8000 mg/L total dissolved solids), elevated sulfate (up to 4000 mg/L), and elevated fluoride concentrations that are in excess of health limits (F− up to 15.2 mg/L, with 20% over 1.5 mg/L). Groundwaters with elevated fluoride occur exclusively within the impact structure. The impact melt rocks and younger red beds consistently have the highest fluoride abundances, up to 2160 ppm. Groundwater pH values are alkaline, ranging up to 10.7, with highest groundwater pH from wells in the impact melt rocks. The spatial associations of impact melt rocks and red beds with elevated fluoride, strong positive correlations between fluoride and pH, sodium, chloride, sulfate, boron and lithium, greater Fe2O3 and Al2O3 concentrations of the host rocks, and cation exchange capacity (CEC) all indicate that fluoride concentrations in groundwaters are enhanced as a result of anion exchange wherein OH− and \(CO_{3}^{2{-}}\) displace F− adsorbed onto Fe- and Al-oxyhydroxide surfaces. Thus, the elevated fluoride contents of groundwaters at Gypsumville are a consequence of the composition of the impact melt rocks and enhanced permeability and grain-size reduction produced by bolide impact. You do not have access to this content, please speak to your institutional administrator if you feel you should have access.

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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)0.001
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 score0.823
Threshold uncertainty score0.352

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0320.003

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 head0.022
GPT teacher head0.214
Teacher spread0.192 · 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

Citations17
Published2008
Admission routes2
Has abstractyes

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