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Record W1900501518

Temporal and vertical distributions of IP25 and other lipid biomarkers in sea ice from Resolute Bay, Nunavut, Canada

2013· article· en· W1900501518 on OpenAlexaboutno aff
Ashleigh Elizabeth Ringrose

Bibliographic record

VenuePEARL (University of Plymouth) · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsnot available
Fundersnot available
KeywordsBayOceanographySea iceGeologyPhysical geographyClimatologyGeography
DOInot available

Abstract

fetched live from OpenAlex

IP25 (Ice Proxy with 25 carbon atoms) is a highly branched isoprenoid biomarker, specifically produced by marine diatoms in Arctic sea ice. Temporal and vertical IP25 concentrations were measured in sea ice from a second location in the Canadian Arctic, Resolute Bay, Nunavut. Sea ice samples were collected as part of the Arctic ICE project in collaboration with scientists of the University of Manitoba from April to June 2011. Comparisons were made between other established lipid biomarkers of diatom origin and general organic production, along with previously established temporal and vertical distributions in sea ice collected from the Amundsen Gulf, from January to June 2008. IP25 was present in sea ice from a second location in the Canadian Arctic over the spring sea ice bloom period and concentrations correlated well with those of chlorophyll a (r = 0.81; n = 10; P < 0.05). IP25 and chlorophyll a were present throughout sea ice cores. Accumulation of IP25 and chlorophyll a were highest (89% - 99%) in the lower 3 cm, whereas vertical distributions of fatty acids were more distributed throughout the sea ice cores. Overall accumulation of IP25 in the lower section of the sea ice was found to be affected by snow cover.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.080

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.001
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 head0.006
GPT teacher head0.165
Teacher spread0.158 · 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 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

Citations3
Published2013
Admission routes1
Has abstractyes

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