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Record W6963526506 · doi:10.18739/a2th8bp79

Radiocarbon Content of Dissolved Carbon Dioxide and Methane in Cambridge Bay, Canada (2022)

2024· dataset· en· W6963526506 on OpenAlexaboutno aff

Bibliographic record

VenueUC Santa Barbara · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsRadiocarbon datingBayArcticMethaneTransectAccelerator mass spectrometryCarbon dioxideCarbon fibers

Abstract

fetched live from OpenAlex

A watershed in the coastal Canadian Arctic was sampled along a lake to bay transect for the radiocarbon (Carbon-14) content of dissolved carbon dioxide (CO2) and methane (CH4) to determine the age of carbon being released during the spring thaw. The field campaign was conducted from June 17 to 29 2022 out of the Canadian High Arctic Research Station (CHARS) in Cambridge Bay, Nunavut, Canada. Gas samples were collected via a custom-built vacuum-enhanced membrane contactor extraction system and transported back to the home lab. Bulk gas samples were processed on a vacuum line at the University of Rochester to isolate CH4 and CO2 fractions following procedures detailed in Sparrow and Kessler (2017). These fractions were then graphitized and analyzed at the National Ocean Sciences Accelerator Mass Spectrometry Facility (NOSAMS) for their radiocarbon content. Field sampling was carried out by researchers at the Woods Hole Oceanographic Institution (WHOI).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.135
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.240
Teacher spread0.224 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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