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Record W6892206919 · doi:10.5066/p9yvpexp

Beryllium-10 concentrations in depth profiles and surface clasts from terrace surfaces near Littlerock Creek, California

2023· dataset· en· W6892206919 on OpenAlexaff

Bibliographic record

VenueUSGS DOI Tool Production Environment · 2023
Typedataset
Languageen
Field
Topic
Canadian institutionsKootenay Association for Science & Technology
Fundersnot available
KeywordsTerrace (agriculture)Cosmogenic nuclideBedrockBerylliumClastic rockSurface exposure datingCobbleNational laboratoryImpact crater

Abstract

fetched live from OpenAlex

This report summarizes the age-dating results from four terrace surfaces of the Littlerock Creek (map units T3g, T3c, T2, and T1c) that record cumulative strike-slip displacements ranging from 470 to 1080 meters along the Mojave section of the San Andreas Fault. Within this report are detailed the methodology used to collect samples of rock and sediment, determine concentrations of cosmogenic beryllium-10 in purified quartz isolated from the samples, and use those nuclide concentrations to calculate surface exposure ages. This report is for fourteen samples. Thirteen samples were collected by Adrien Moulin in 2016 with support from Emery Anderson-Merritt. One sample was collected by Katherine M. Scharer in 2018. Sample preparation and measurements of beryllium ratios by accelerator mass spectrometry (AMS) were completed at the Lawrence Livermore National Laboratory, Livermore, CA, following standard methods.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.253
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.044

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 head0.021
GPT teacher head0.239
Teacher spread0.219 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreDataset

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

Citations1
Published2023
Admission routes1
Has abstractyes

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