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Record W4245000703 · doi:10.4095/298698

Surficial geology, Walker Lake south, Nunavut, NTS 56-J south

2016· report· en· W4245000703 on OpenAlexaffabout
L A Dredge, J E Campbell, I McMartin

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyArchaeologyPhysical geographyGeomorphologyGeochemistryGeography

Abstract

fetched live from OpenAlex

Much of the Walker Lake South map area is covered by streamlined till plains with shallow, glacially-eroded basins; however the southeast is dominated by a bedrock highland. Striae and streamlined landforms in till indicate initial north-northeast then persistent northwestward ice flow during the last glaciation, although late-glacial flow reversals occurred to the south and east down glacial troughs in the bedrock highland. Weathered bedrock and regotill indicate areas of cold-based ice conditions and combined with the hummocky till, delineate the presence of late-ice remnants in highlands. Large subglacial corridors, containing eskers and other ice-contact deposits, carried meltwater northward into the Arctic Ocean. South of the regional drainage divide, short-lived glacial lakes, marked by wave-cut notches and boulder lags on the till surface, developed as the ice front receded southwards into the upland south of the Ford Lake-Wager Bay lowlands. The marine limit ranges from 100-110 m a.s.l. in this area.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.423

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0380.007

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 head0.051
GPT teacher head0.237
Teacher spread0.186 · 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
Published2016
Admission routes2
Has abstractyes

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