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Record W2621845829 · doi:10.1002/2016jg003668

The seeding of ice algal blooms in Arctic pack ice: The multiyear ice seed repository hypothesis

2017· article· en· W2621845829 on OpenAlex
Lasse M. Olsen, Samuel R. Laney, Pedro Duarte, Hanna M. Kauko, Mar Fernández‐Méndez, C. J. Mundy, Anja Rösel, Amélie Meyer, Polona Itkin, Lana Cohen, Ilka Peeken, Agnieszka Tatarek, Magdalena Różańska-Pluta, Józef Wiktor, Torbjørn Taskjelle, Alexey K. Pavlov, Stephen R. Hudson, Mats A. Granskog, Haakon Hop, Philipp Assmy

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Geophysical Research Biogeosciences · 2017
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsUniversity of Manitoba
FundersWoods Hole Oceanographic InstitutionNatural Sciences and Engineering Research Council of CanadaNarodowe Centrum Badań i RozwojuNorges ForskningsrådKlima- og miljødepartementetNorsk Polarinstitutt
KeywordsSea iceArctic ice packOceanographyAntarctic sea iceDrift iceFast iceArcticEnvironmental scienceGeologyDiatomMelt pond

Abstract

fetched live from OpenAlex

During the Norwegian young sea ICE expedition (N-ICE2015) from January to June 2015 the pack ice in the Arctic Ocean north of Svalbard was studied during four drifts between 83and 80N. This pack ice consisted of a mix of second year, first year, and young ice. The physical properties and ice algal community composition was investigated in the three different ice types during the winter-spring-summer transition.

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.

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)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.030
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.003
Scholarly communication0.0010.001
Open science0.0020.000
Research integrity0.0000.001
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 head0.042
GPT teacher head0.302
Teacher spread0.260 · 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