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Record W2910336627 · doi:10.4095/215069

Surficial materials of the Virden area, Manitoba and Saskatchewan

2004· report· en· W2910336627 on OpenAlexaffabout
R J Fulton, A Blais-Stevens, C Sun, R G Eilers, R N Betcher, J A Elson, H Veldhuis, W R Fraser

Bibliographic record

Venuenot available
Typereport
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsNatural Resources Canada
Fundersnot available
KeywordsArchaeologyGeographyGeology

Abstract

fetched live from OpenAlex

The Virden area study is part of the Southern Prairies NATMAP Project. In general, the area is flat and characterized by thick drift. Surface materials consist of till, clay, silt, sand, and gravel. The thickness of drift varies from as little as 1 m, where a single till sheet overlies bedrock, to more than 100 m in buried valleys and where multiple till units are present. During the last glaciation, ice movement was generally towards the southeast. During ice retreat, several glacial lakes formed at the margin of the retreating ice, and a number of catastrophic floods cut spillways and deposited extensive sheets of sand and gravel. The report package includes extensive databases of field-collected information, borehole records, and aggregate data. These databases have been used to produce a wide variety of derived products which include, observed surface-material maps, drift-thickness maps etc. These have a number of uses such as showing potential aggregate deposits, making it possible to map aquifers prone to contamination, etc. The package includes innovative software for viewing maps and databases.

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: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.069
Threshold uncertainty score0.139

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.003

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 head0.026
GPT teacher head0.229
Teacher spread0.203 · 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

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