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Record W7023322733

Oil behavior in sea ice: changes in chemical composition and resultant effect on the complex permittivity (dielectrics) and radar signature of sea ice

2018· dissertation· en· W7023322733 on OpenAlexfundno aff

Bibliographic record

VenueMspace (University of Manitoba) · 2018
Typedissertation
Languageen
FieldEnvironmental Science
TopicOil Spill Detection and Mitigation
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaArcticNetUniversity of Memphis
KeywordsSea icePermittivityMesocosmRadarSignature (topology)Chemical compositionLead (geology)Oil explorationPetroleumGlobal warming
DOInot available

Abstract

fetched live from OpenAlex

Within the Arctic, global warming has led to continual decreases in sea-ice extent and type. Shipping and oil exploration is, therefore, becoming increasingly more feasible, thereby increasing the potential of crude oil or fuel being spilled into the marine environment. This impending possibility has led to a need for the development of oil detecting techniques suitable for ice-covered waters. To this end, two artificial oil-in-ice mesocosm experiments were conducted to investigate the movements and interactions of oil in a sea ice environment, both on a macroscopic and microscopic scale. The resultant changes made to the physical properties of the ice post-oil injection were assessed; in particular, temperature, salinity, and complex permittivity (dielectrics) which are essential parameters associated with the remote sensing of sea ice were focused upon.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.881
Threshold uncertainty score0.716

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.009
GPT teacher head0.208
Teacher spread0.199 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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