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Record W2253676635

Paleolimnology of the Lake of the Woods southern basin

2016· article· en· W2253676635 on OpenAlexaboutno aff
Euan D. Reavie, Mark B. Edlund, Norman A. Andresen, Daniel R. Engstrom

Bibliographic record

VenueUniversity of Minnesota Digital Conservancy (University of Minnesota) · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicWater Quality and Resources Studies
Canadian institutionsnot available
FundersMinnesota Pollution Control Agency
KeywordsPaleolimnologyGeologyStructural basinGeographyPhysical geographyOceanographyClimate changePaleontology
DOInot available

Abstract

fetched live from OpenAlex

To quantify the environmental history of the southern basin of Lake of the Woods (Ontario,
\nManitoba and Minnesota), seven core locations were selected for retrospective analyses. Primary
\ngoals were to determine pre-European settlement conditions and track the timing and extent of
\nanthropogenic impacts and remediation. Sediments were dated using isotopic analyses and fossil
\nremains, in concord with other stratigraphic indicators (organic and inorganic materials,
\nsedimentation rates, other biological entities), were used to reconstruct the ~150-year history of
\nthe lake. Diatom assemblages were assessed from sediment intervals and inferred trophic
\nconditions in the profiles were derived using a regional diatom-based model for Minnesota lakes.
\nNutrient reconstructions indicated a period of cultural eutrophication throughout much of the 20th
\ncentury. Despite a known reduction in anthropogenic nutrient flux to the lake in recent decades,
\nthere has been no apparent reversal in eutrophication in the pelagic system. Contemporary
\nobservations indicate that blooms of blue-green algae are becoming a greater problem. It appears
\nthat legacy nutrient recycling and other environmental drivers are maintaining the current
\ncondition of pelagic nutrient enrichment. Sedimentary analyses also indicated that physical
\nchanges to the lake resulting from warming may be contributing in small part to the recent
\nreorganization of algal assemblages.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.187
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.018
GPT teacher head0.159
Teacher spread0.141 · 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 teacher head, not a consensus.

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
Published2016
Admission routes1
Has abstractyes

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