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Mercury and methylmercury in wet deposition samples from USCGC Healy HLY1502 in the Canada and Makarov Basins of the Arctic Ocean; Dutch Harbor to Dutch Harbor from August to October 2015

2021· dataset· en· W6908354251 on OpenAlexaboutno aff

Bibliographic record

VenueOpen Access Server of the Woods Hole Scientific Community (Woods Hole Scientific Community) · 2021
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
FundersDivision of Ocean Sciences
KeywordsNucleofectionGestational periodTSG101LiquationDiafiltrationDurvalumabDysgeusiaProteogenomicsEmperipolesis

Abstract

fetched live from OpenAlex

The data include measurements of mercury and methylmercury concentrations in wet deposition samples from the GEOTRACES Arctic Ocean cruise in 2015 (HLY1502, GN01).

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)0.024
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Open science, Research integrity
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Open science
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.503
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.017
Science and technology studies0.0070.004
Scholarly communication0.0120.003
Open science0.0430.053
Research integrity0.0010.008
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 head0.074
GPT teacher head0.341
Teacher spread0.267 · 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
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
Published2021
Admission routes1
Has abstractyes

Explore more

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