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Record W4407736465 · doi:10.4095/py3mrhen1t

Surficial geology, Horn River, Northwest Territories, NTS 85-F/11, 12, 13, and 14

2025· report· fr· W4407736465 on OpenAlexaffabout
I R Smith, R C Paulen, G W Hagedorn

Bibliographic record

Venuenot available
Typereport
Languagefr
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsFrench hornGeologyArchaeologyGeomorphologyHydrology (agriculture)GeographyGeotechnical engineeringSociology

Abstract

fetched live from OpenAlex

Cette carte comprend un terrain plat à légèrement vallonné au nord du fleuve Mackenzie et à l’ouest du Grand lac des Esclaves. La géologie des formations superficielles se compose en grande partie de till (36,9 %) et de dépôts organiques de tourbières et oligotrophes et minérotrophes (29,9 %), et présente beaucoup moins de signes d’érosion thermokarstique que les régions cartographiées au sud. La région est remarquable par le champ de moraines côtelées qui couvre la majeure partie de la région cartographique. Celles-ci ont été formées pendant la dernière glaciation par l’Inlandsis laurentidien sous la forme d’une série de moraines de poussée glaciaire dirigée vers le sud, qui ont été en partie remaniées par les écoulements ultérieurs en direction de l’ouest et du sud-ouest. Les crêtes individuelles sont alignées grossièrement nord-sud, espacées de 1,2 à 2,0 km, d’une largeur de 0,6 à 1,0 km et d’une hauteur de 5 à 10 m. Pendant la déglaciation, l’Inlandsis laurentidien s’est retiré en contact avec le Lac glaciaire McConnell, qui a fini par inonder toute la région cartographique. Le retrait glaciaire vers le nord-est est marqué par un réseau dense de moraines de De Geer discontinues et de faible amplitude, espacées de 50 à 200 m.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.269
Threshold uncertainty score0.540

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0580.010

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 head0.036
GPT teacher head0.224
Teacher spread0.187 · 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

Citations0
Published2025
Admission routes2
Has abstractyes

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