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Record W4392282343 · doi:10.1007/s00027-024-01044-3

Transitional circulation patterns from full ice cover to ice-off in a seasonally ice-covered lake

2024· article· en· W4392282343 on OpenAlexaboutno aff
Katie Stagl Hughes, Alexander L. Forrest, Alicia Cortés, Fabián A. Bombardelli

Bibliographic record

VenueAquatic Sciences · 2024
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMelt pondGeologyOceanographyShelf iceCover (algebra)CryosphereCirculation (fluid dynamics)Ice formationArctic ice packSeabed gouging by iceSea iceIce shelfIce streamClimatologyPhysical geographyAtmospheric sciencesGeography

Abstract

fetched live from OpenAlex

Abstract There is consensus that under-ice circulation presents multiple phases through the winter, and that different mechanisms dominate each period. In this work, measurements of temperature, water velocity, conductivity, and dissolved oxygen from Lake Massawippi, Quebec, Canada, obtained during the ice-covered season in 2019, were used to characterize the time scales of different winter regimes and transitions among dominating circulation mechanisms. Lake circulation during this period began with a single-cell convection induced by sediment flux pulses in early winter. The single-cell convection decayed into a brief quiescent period. Radiatively driven convection then formed a convectively mixed layer in late winter. The defined mixed layer and temperature structure provided the necessary conditions for the formation of a potential rotational feature, which briefly formed immediately prior to ice break-up. Ice break-up led to complex hydrodynamics that persisted for nearly 28 days following full ice-off. Dissolved oxygen was directly correlated with the varying circulation features throughout the field campaign. This work provides a quantitative measure to delineate the transitions between under-ice regimes and provides novel insights into the subsequent circulation during and after ice break-up.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.426
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.001

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 head0.234
Teacher spread0.217 · 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 designObservational
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

Citations5
Published2024
Admission routes1
Has abstractyes

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