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Record W2809606715 · doi:10.4095/288958

Surficial geology, Sosnowski Lake, Manitoba

2012· report· it· W2809606715 on OpenAlexaffabout
Michelle Trommelen, J E Campbell

Bibliographic record

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

Abstract

fetched live from OpenAlex

Northeast Manitoba is mantled by glacial and post-glacial sediments, with scarce bedrock outcrops. Past ice-flow reconstructions in northern Manitoba suggest that the region has been covered at least twice by ice from the Keewatin sector, and at least three times by ice from the Labradorean sector (Dredge et al., 1986; Klassen, 1986; Dredge and Thorleifson, 1987; Boulton and Clark, 1990; Dredge et al., 1990; Dredge and Nixon, 1992; Kaszycki et al., 2008). This map builds on previous 1:250,000 surficial mapping completed in the 1980's (Dredge and Nixon, 1981, 1982). The northern part of the study area is characterized by extensive swaths of bouldery drumlinized and pristine (non-drumlinized) Rogen moraine ridges alternating with swaths of streamlined terrain. The remaining area is characterized by bedrock topography draped by a mix of till blankets and till veneers. Long, large eskers are present throughout the area, at roughly 18 km intervals. Where the eskers are located below approximately 200 m asl, they have been partially eroded by lacustrine and/or marine waters. Below 150 m asl, the eskers exist as washed, low-lying sand and gravel blankets rather than ridges. A mix of organic blankets and marine sediment is present in the eastern portion of the study area, predominantly below150 m asl. The study area has, in part, been wave-washed by either or both the postglacial Tyrrell Sea and Glacial Lake Agassiz or other smaller disconnected glacial lakes. The marine limit in the study area is around 180 m asl. Field data were obtained by helicopter-assisted ground-truthing in 2009 and 2010. Further description of map units, with photos, can be found in Trommelen and Ross (2009) and Trommelen et al. (2010). Field data are available in McCurdy, M.W, et al. (2011).

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.807
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1570.024

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 head0.077
GPT teacher head0.245
Teacher spread0.168 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations1
Published2012
Admission routes2
Has abstractyes

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