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Record W4319595982 · doi:10.1061/9780784484487.ch14

Field Studies of EFP in Freezing Lakes in Inuvik

2023· book-chapter· en· W4319595982 on OpenAlexaboutno aff

Bibliographic record

VenueAmerican Society of Civil Engineers eBooks · 2023
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostHydrology (agriculture)WattGeologyEnvironmental scienceGeomorphologyOceanographyGeotechnical engineeringPhysics

Abstract

fetched live from OpenAlex

In the winter of 1996-1997, the author, in collaboration with the Department of Geography and Environmental Sciences of Carleton University, Ottawa, designed equipment to study the development of electrical potentials developed during the freezing of large bodies of water, lakes, in a natural environment in a permafrost area. Two lakes in Inuvik area were chosen that had contrasting hydrologic regime and were within 10 km of each other. Inuvik is on the east side of Mackenzie Delta, about 40 km south of the tree line and in the continuous permafrost zone, with a mean monthly air temperature below 0 degree Celsius, through October to May. The electrical potential differences between the bottom electrode and each of the others above that measured, using a multimeter of high impedence. Measurements were done every week from mid-November 1996, when freezing starts from the top downward, until early March 1997, when thawing begins from the surface.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.711
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.050
GPT teacher head0.255
Teacher spread0.205 · 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.

Study designObservational
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
Published2023
Admission routes1
Has abstractyes

Explore more

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