MétaCan
Menu
Back to cohort
Record W6924999019 · doi:10.1594/pangaea.962871

Soil moisture and temperature at Trail Valley Creek, NWT, Canada, in 2019

2023· dataset· en· W6924999019 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePublishing Network for Geoscientific and Environmental Data (PANGAEA) (Alfred Wegener Institute for Polar and Marine Research) · 2023
Typedataset
Languageen
FieldHealth Professions
TopicMethodologies in Health Research and Practice
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostWater contentTundraSoil waterHydrology (agriculture)Active layerMoistureArcticAutomatic weather station

Abstract

fetched live from OpenAlex

This data set contains quality controlled soil temperature and volumetric liquid water content measurements from a site at the forest-tundra transition in the western Canadian Arctic. The measurement site is near by the Trail Valley Creek (TVC) research station, which is operated by Wilfried Laurier University. The station is located east of the Mackenzie Delta and 45 km north of Inuvik. The published data set provides long-term observations on the thermal and hydrological state of the active layer at a hummocky tundra site within the continuous permafrost zone. The station consists of a soil depth-profile with four sensor sets at 2cm, 5cm, 10cm, and 20cm of paired soil moisture and soil temperature sensors. Additionally, three distributed soil moisture sensors are installed in the surface soil. The data series is continued since 2016 and provides a basis for process understanding and modelling studies of Arctic permafrost.

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.

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)0.018
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0180.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0050.001
Scholarly communication0.0010.002
Open science0.0020.008
Research integrity0.0010.004
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 head0.209
GPT teacher head0.422
Teacher spread0.213 · 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