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Record W6924713937 · doi:10.1594/pangaea.969462

Chlorophyll a in under-ice seawater during the onset of sea ice melt in Young Sound, Northeast Greenland, in 2014

2025· dataset· en· W6924713937 on OpenAlexafffund

Bibliographic record

VenuePublishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research) · 2025
Typedataset
Languageen
FieldHealth Professions
TopicMaternal and Neonatal Healthcare
Canadian institutionsUniversity of Manitoba
FundersCanada Research ChairsAage V. Jensens FondeCanada Foundation for Innovation
KeywordsSeawaterSea iceChlorophyll aFOIL methodFjordChlorophyll

Abstract

fetched live from OpenAlex

Our study took place in under-ice seawater of Young Sound-Tyrolerfjord in Northeast Greenland between 30 May and 23 June, 2014. Samples for chlorophyll-a (Chl-a) were collected at depths of 0 and 1 m in under-ice seawater. To determine the Chl-a concentration, seawater was filtered using Whatman GF/C glass-fiber filters. Filters were then stored frozen in aluminum foil until measurement at the home laboratory in Aarhus University, Denmark where filters were extracted in 10 mL acetone at 4 °C for 16 h. The Chl-a concentrations were subsequently determined using a Turner Design TD700 fluorometer.

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)0.006
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
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 score0.098
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.004
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 head0.061
GPT teacher head0.350
Teacher spread0.289 · 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
Published2025
Admission routes2
Has abstractyes

Explore more

Same venuePublishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research)Same topicMaternal and Neonatal HealthcareFrench-language works237,207