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Record W7097494772

2.c.1 Will any future increase in freshwater efflux from the Arctic pass west or east of Greenland (Q10 Annex A)?

2016· article· en· W7097494772 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArctic and Antarctic ice dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsArchipelagoArcticSea iceArctic ice packArctic dipole anomalyPrecipitationThe arctic
DOInot available

Abstract

fetched live from OpenAlex

General idea and importance: There are two major freshwater pathways from the Arctic Ocean to the subpolar North Atlantic, namely Fram Strait and the passages through the Canadian Arctic Archipelago (CAA). Fram Strait today carries roughly equal amounts of freshwater in liquid and solid form while the export through the CAA is mostly liquid freshwater. With increasing atmospheric freshwater transport to high latitudes we expect increasing precipitation and continental run-off into the Arctic Ocean. At the same time, sea ice thickness is expected to decrease. Thus, an increase in the liquid freshwater storage and export are expected, whereas the solid freshwater export is expected to decrease. For current conditions, sea ice export from the Arctic is highly asymmetric with most of the export taking place through Fram Strait and very little through the narrow passages of the CAA where sea ice tends to be blocked, at least in winter. Although the CAA is so much shallower than Fram Strait, observational estimates hint at roughly equal liquid freshwater transports along both pathways. With decreasing sea ice export a relative reduction in the importance of Fram Strait in exporting freshwater from the Arctic is possible. The shift from solid to liquid

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.050
Threshold uncertainty score0.147

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0440.007

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 head0.008
GPT teacher head0.186
Teacher spread0.178 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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