MétaCan
Menu
← Back to cohort
Record W2809142371 · doi:10.4095/292268

Surficial geology, Artillery Lake, Northwest Territories, NTS 75-O

2013· book· en· W2809142371 on OpenAlexaffabout
D E Kerr, R D Knight, D R Sharpe, David Cummings

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsBedrockGeologyMoraineDrumlinGeomorphologyMeltwaterPaleontologyArchaeologyIce streamGlacial periodGeographyOceanography

Abstract

fetched live from OpenAlex

The Artillery Lake map area is characterized by three broad zones based on distribution and nature of surficial sediments. In the northwest, hummocky till with a few north-south trending moraine ridges, and smaller areas of till veneer and bedrock dominate the landscape. The northeast is defined by extensive regions of exposed, scoured bedrock and till veneer. The southern regions consist of a combination of bedrock, till veneer and fluted till blanket. Till is dissected by glaciofluvial corridors consisting of eskers, ice-contact sediments and scoured bedrock. These features record a westward meltwater paleoflow in the south, a northwestward flow in the central regions, and a northwestward to northward flow in the northern regions of the map area. The earliest ice flow, defined by rare striae and subtle sculpted bedrock in the north, was southwestward. The last, dominant ice flow forms a radiating pattern defined by striae, fluted bedrock crag-and-tails and drumlins. Ice flow was westward in the south, to northwestward in the central regions, but locally southwestward, in the northeasternmost region.

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 score0.727
Threshold uncertainty score0.543

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.1010.025

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 head0.028
GPT teacher head0.212
Teacher spread0.185 · 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

Citations2
Published2013
Admission routes2
Has abstractyes

Explore more

Same topicClimate change and permafrost→French-language works237,207→