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Record W6921590544 · doi:10.7289/v590222c

Redox potential (Eh), pH, and other measurements performed in the Lake Hazen, Skeleton Lake and Pond1 from 2014-05-24 to 2015-07-26 (NCEI Accession 0171496)

2018· dataset· en· W6921590544 on OpenAlexaffabout

Bibliographic record

VenueNational Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) · 2018
Typedataset
Languageen
FieldSocial Sciences
TopicEducation Methods and Technologies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsRedoxNitrateSulfateOxygenIsotopes of oxygenOxygen isotope ratio cycleSpring (device)Stable isotope ratio

Abstract

fetched live from OpenAlex

This dataset consists of measurements of pH, redox potential, H2S and dissolved oxygen from core samples that were taken from Lake Hazen, Skeleton Lake and Pond1 between Spring 2014 and Summer 2015. Redox potential, pH, H2S and dissolved oxygen were recorded with Unisense microsensors directly from the cores. Porewater from duplicate cores from the same sites was analyzed for chloride, nitrate and sulfate at the Elemental Analysis and Stable Isotope Ratio Mass Spectrometry Laboratory (Department of Renewable Resources), University of Alberta with ion chromatography.

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)0.002
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 score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
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 head0.031
GPT teacher head0.334
Teacher spread0.303 · 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
Published2018
Admission routes2
Has abstractyes

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