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Record W2982147903 · doi:10.4095/223234

Surficial geology, Ahbau Lake, British Columbia

2007· report· en· W2982147903 on OpenAlexaffabout
A Blais-Stevens, John J. Clague

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyArchaeologyGeography

Abstract

fetched live from OpenAlex

The surficial geology of the Ahbau Lake map area provides a record of the late Quaternary history of central British Columbia near the centre of the former Cordilleran Ice Sheet. The map depicts a variety of sediment units of glacial and non-glacial origin superposed on a hillshade derived from a Digital Elevation Model (DEM). From oldest to youngest, the units are bedrock, till, glaciofluvial deposits, glaciolacustrine deposits, colluvium, alluvium, and organic deposits. Till, the most aerially extensive deposit, was deposited by glacier ice and consists of boulder- to pebble-sized clasts in a matrix of sand, silt, and clay. Till underlies north-trending drumlins that indicate ice flow to the north. Glaciofluvial deposits consist of stratified, well-sorted to poorly-sorted sand and gravel. They are associated with eskers, terraces, and blankets. Some glaciofluvial deposits are kettled. Glaciolacustrine deposits comprise sand, silt, and clay deposited in a former glacial lake impounded by decaying ice masses. Colluvium is derived mainly from glaciolacustrine deposits that failed along river banks. Alluvium consists of fine silt, sand, and minor gravel deposited along modern streams after deglaciation. Organic deposits include peat and organic-rich mud that have accumulated in poorly drained depressions formed in older sediments and bedrock.

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)0.001
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 score0.025
Threshold uncertainty score0.104

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0040.000
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0250.003

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 head0.037
GPT teacher head0.243
Teacher spread0.206 · 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
Published2007
Admission routes2
Has abstractyes

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