MétaCan
Menu
Back to cohort
Record W6886105991 · doi:10.14459/2024mp1739720.001

ERT datasets of the article "Life cycles and polycyclicity of mega retrogressive thaw slumps in arctic permafrost revealed by 2D/3D geophysical and long-term retreat monitoring"

2024· dataset· en· W6886105991 on OpenAlexaboutno aff

Bibliographic record

VenuemediaTUM (Technical University of Munich) · 2024
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostArcticLongitudeSlumpPosition (finance)Mega-Electrical resistivity and conductivityElectrical resistivity tomography

Abstract

fetched live from OpenAlex

This data set provides electrical resistivity tomography (ERT) data related to the article "Life cycles and polycyclicity of mega retrogressive thaw slumps in arctic permafrost revealed by 2D/3D geophysical and long-term retreat monitoring" on Herschel Island, Canada starting in 2011. For each ERT profile presented in the paper, we include two raw data files: an apparent resistivity text file and a coordinate/topography text file. The apparent resistivity text file shows each quadrapole configuration, the position (in meters) of the current (C) and potential (P) electrodes, and the apparent resistivity (in ohm-m). The coordinate/topography files contain the elevation (in meters) associated with each survey position (in meters), as well the latitude and longitude of the survey start and end points. For all files, the position refers to surface distance (not true horizontal distance). The text files are named according to the figure caption. For Figure 12 (containing seven ERT profiles parallel to the coastline at slump D), the filenames contain a distance value (e.g., 15 m), indicating that the survey was carried out 15 m away from the coastline.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.796
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.003
Research integrity0.0010.002
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 head0.008
GPT teacher head0.236
Teacher spread0.227 · 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
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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venuemediaTUM (Technical University of Munich)French-language works237,207