MétaCan
Menu
Back to cohort
Record W2909555707 · doi:10.4095/215892

Surficial geology, Nechako River, British Columbia

2004· report· en· W2909555707 on OpenAlexaffabout
A Plouffe, V M Levson, D Mate

Bibliographic record

Venuenot available
Typereport
Languageen
FieldEarth and Planetary Sciences
TopicGeological Modeling and Analysis
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsGeologyArchaeologyHydrology (agriculture)Physical geographyGeomorphologyGeographyGeotechnical engineering

Abstract

fetched live from OpenAlex

The surficial geology of the Nechako River map area (NTS 93F) depicts the distribution of unconsolidated glacial and nonglacial sediments and landforms. This A-series map was compiled, modified and generalized from previously published open files produced by the Geological Survey of Canada and the British Columbia Geological Survey. The map shows a variety of units of glacial and non-glacial origin. From oldest to youngest, the units on the map include bedrock and till and, glaciofluvial, glaciolacustrine, colluvial, alluvial, organic, and anthropogenic deposits. Till is the most areally extensive surficial deposit in the map area. It consists of a poorly sorted sediment directly deposited by glaciers, containing boulder- to pebble-sized clasts in a matrix of sand, silt, and clay. Glaciofluvial deposits generally consist of sand and gravel which can represent aggregate resources, but their quality for such usage depends on the sediment sorting and the induration of the clast lithologies. Glaciolacustrine deposits are composed of well sorted fine sand, silt, and clay. These sediments were deposited in former glacial lakes that developed at the end of the last glaciation when the drainage was blocked by decaying ice masses. Colluvial deposits represent sediments reworked by mass-wasting processes in steep terrain. Alluvial deposits (sediments of modern streams) are present along all streams in the region but only in the larger ones are such deposits extensive enough to be mapped. Organic deposits accumulate in poorly drained depressions in sediments and bedrock. They are particularly abundant in regions underlain by impermeable till, in valleys with underfit streams, and within low-gradient meltwater channels. Anthropogenic deposits, consisting of sediments reworked by human activities, were only mapped at the Kenney Dam site. A variety of glacial and non-glacial landforms are represented on the map. They provide and indication of the glacial and non-glacial history of the region. More details on the surficial geology and ice-flow history of the region is provided as marginal notes on the map.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.096

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.006
Science and technology studies0.0030.000
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0260.003

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 head0.027
GPT teacher head0.224
Teacher spread0.196 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations3
Published2004
Admission routes2
Has abstractyes

Explore more

Same topicGeological Modeling and AnalysisFrench-language works237,207