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Record W2329591942 · doi:10.1130/g34812.1

Riverine mixing and fluvial iron formation: A new type of Precambrian biochemical sediment

2013· article· en· W2329591942 on OpenAlexaffabout
Peir K. Pufahl, Franco Pirajno, Eric E. Hiatt

Bibliographic record

VenueGeology · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Stratigraphy of Fossils
Canadian institutionsAcadia University
Fundersnot available
KeywordsGeologyNova scotiaGeological surveyPrecambrianCitationFluvialLibrary scienceGeologistArchaeologyGeochemistryOceanographyPaleontologyHistoryStructural basin

Abstract

fetched live from OpenAlex

Research Article| December 01, 2013 Riverine mixing and fluvial iron formation: A new type of Precambrian biochemical sediment Peir K. Pufahl; Peir K. Pufahl * 1Department of Earth and Environmental Science, Acadia University, Wolfville, Nova Scotia B4P 2R6, Canada *E-mail: peir.pufahl@acadiau.ca. Search for other works by this author on: GSW Google Scholar Franco Pirajno; Franco Pirajno 2Mineral Systems Studies, Geological Survey of Western Australia, East Perth, Western Australia 6004, Australia Search for other works by this author on: GSW Google Scholar Eric. E. Hiatt Eric. E. Hiatt 3Department of Geology, University of Wisconsin–Oshkosh, Oshkosh, Wisconsin 54901, USA Search for other works by this author on: GSW Google Scholar Author and Article Information Peir K. Pufahl * 1Department of Earth and Environmental Science, Acadia University, Wolfville, Nova Scotia B4P 2R6, Canada Franco Pirajno 2Mineral Systems Studies, Geological Survey of Western Australia, East Perth, Western Australia 6004, Australia Eric. E. Hiatt 3Department of Geology, University of Wisconsin–Oshkosh, Oshkosh, Wisconsin 54901, USA *E-mail: peir.pufahl@acadiau.ca. Publisher: Geological Society of America Received: 05 Jun 2013 Revision Received: 31 Aug 2013 Accepted: 04 Sep 2013 First Online: 09 Mar 2017 Online ISSN: 1943-2682 Print ISSN: 0091-7613 © 2013 Geological Society of America Geology (2013) 41 (12): 1235–1238. https://doi.org/10.1130/G34812.1 Article history Received: 05 Jun 2013 Revision Received: 31 Aug 2013 Accepted: 04 Sep 2013 First Online: 09 Mar 2017 Cite View This Citation Add to Citation Manager Share Icon Share Facebook Twitter LinkedIn Email Permissions Search Site Citation Peir K. Pufahl, Franco Pirajno, Eric. E. Hiatt; Riverine mixing and fluvial iron formation: A new type of Precambrian biochemical sediment. Geology 2013;; 41 (12): 1235–1238. doi: https://doi.org/10.1130/G34812.1 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 Precambrian iron formations are biochemical sediments that record ocean chemistry and circulation on the early Earth. The appearance of large, economically important continental margin iron formation reflects the creation of extensive continental shelves and oxygenation of the ocean-atmosphere system near the end of the Archean. Exhalative iron formation contains a record of hydrothermal vent chemistry through time. We introduce here fluvial iron formation, a new type of Fe-rich microbial-biochemical sediment that formed by mixing river discharge and seawater in coastal environments. The Paleoproterozoic Chiall Formation (ca. 1.8 Ga), Earaheedy Basin, Western Australia, contains laminated and granular hematitic iron formation in delta channel deposits. Where mixing occurred in adjacent peritidal settings, laminated iron formation and hematitic oncoids formed. Because fluvial iron formations precipitated at the interface between terrestrial and marine realms, the locus of known Fe precipitation processes is shifted landward into paleoestuarine settings and reflects Fe derived from both terrestrial weathering and coastal upwelling, providing a new window into ocean-atmosphere evolution. 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.

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 score0.174
Threshold uncertainty score1.000

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)0.0010.000

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 head0.014
GPT teacher head0.211
Teacher spread0.198 · 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

Citations14
Published2013
Admission routes2
Has abstractyes

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