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Record W2808772835 · doi:10.4095/298791

Reconnaissance surficial geology, Armark Lake, Nunavut, NTS 66-K, south

2016· report· en· W2808772835 on OpenAlexaffabout
L A Dredge, D E Kerr

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Studies and Exploration
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyArchaeologyGeochemistryPhysical geographyMining engineeringGeography

Abstract

fetched live from OpenAlex

Preliminary surficial geology studies, based on air photo interpretation and limited recent field data, were undertaken in the south half of the Armark Lake map area to provide an understanding of surficial materials and regional glacial history. Much of the map area is covered by till veneer and swaths of sandy till with streamlined forms indicating ice flow to the NNW. Till blankets contain material derived from Thelon sandstone bedrock south of the map area, although till veneers are derived from more local bedrock. Subglacial meltwater corridors, spaced across the area, are also oriented NNW. An extensive, sandy kame moraine, characterized by kettle topography and kame terraces, marks a recessional ice margin on the north side of Garry Lake. Short-lived ice-marginal and proglacial lakes covered much of the terrain below an elevation of 220 m, leaving flat sandy deposits with thermokarst depressions and tundra ponds. The most extensive glacial lake deposits lie north of the kame moraine.

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 score0.222
Threshold uncertainty score0.447

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)0.0200.003

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 head0.076
GPT teacher head0.254
Teacher spread0.177 · 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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