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Record W2738119017 · doi:10.1130/abs/2016rm-276243

ISOTOPE GEOCHEMISTRY OF SCABLAND FLOOD DEPOSITS

2016· article· en· W2738119017 on OpenAlexaboutno aff
Joel Gombiner, Sidney R. Hemming, I. L. Hendy, J. G. Bryce, Janne Blichert‐Toft

Bibliographic record

VenueAbstracts with programs - Geological Society of America · 2016
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeologySedimentGlacial periodChronologyFlood mythRadiocarbon datingGeochemistryQuaternaryTurbiditeGeomorphologyPaleontologyOceanographyArchaeology

Abstract

fetched live from OpenAlex

Argon and neodymium isotope geochemistry provide a means of tracking Scabland Flood sediment from source to sink. Analysis of sediment from locations along the flood path and from two marine sediment accumulation sites elucidate patterns of sediment mixing on land, subsequent unmixing at sea, and marine sediment transport pathways. Slackwater deposits in the Tucannon and Willamette valleys are characterized by old K/Ar ages of fine-grained sediment (240 to 360 Ma), younger 40Ar/39Ar ages of individual micas (mean ages from 70 to 150 Ma), and moderately negative εNd values (-8.5 to -10.5). Similarly old K/Ar ages (210 to 390 Ma) and negative εNd values (-8.5) link glacial outburst flood layers from sediment core MD02-2496 offshore Vancouver Island to the Scabland Floods. This isotopic link shows that Scabland Floods sent plumes of fine-grained sediment >400 km to the north in the Pacific Ocean. A high-resolution geochemical record from MD02-2496 identifies 44 Scabland Flood layers in the core. Sixteen radiocarbon dates spanning the glacial flood interval provide an absolute chronology, showing cyclical deposition with ~50- to 80-year periodicity between ~19.3 and ~14.9 ka. Additionally, 40Ar/39Ar age spectra of individual mica grains from a late Pleistocene Astoria Fan turbidite bed are similar to age spectra from Scabland Flood slackwater deposits, reinforcing the connection between this turbidite sequence and glacial outburst floods.

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 score0.041
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 studies0.0000.002
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 head0.017
GPT teacher head0.236
Teacher spread0.218 · 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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