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Surface-sediment diatom assemblages and water chemistry from 42 subarctic lakes in the southwestern Yukon and northernBritish Columbia, Canada

2002· article· en· W2541233775 on OpenAlexafffundvenueabout
Susan E. Wilson, Konrad Gajewski

Bibliographic record

VenueEcoscience · 2002
Typearticle
Languageen
FieldMaterials Science
TopicDiatoms and Algae Research
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDiatomSubarctic climateAlkalinityRange (aeronautics)EutrophicationOceanographySurface waterEcologyPaleolimnologySedimentSTREAMSGeologyEnvironmental scienceNutrientBiologyChemistryGeomorphology

Abstract

fetched live from OpenAlex

Modern diatom assemblages were related to surface-water chemistry from 42 lakes in the southwestern Yukon and in northern British Columbia. The lakes were alkaline (pH ranged from 7.5 to 9.4) with high specific conductance (mean = 379 µS cm-1). The lakes spanned a relatively wide range of trophic conditions, with the majority being oligotrophic or meso-eutrophic. Lake water depth, alkalinity, lake surface area, and Mg accounted for most of the variation in the diatom assemblages. Diatom assemblages most closely resembled those of the southern interior of British Columbia, where high conductance lakes are numerous, although many of the taxa were common to other northern regions, including Siberia, Alaska, and other parts of the Yukon. These data may be used in conjunction with other data from northern regions, including the Yukon and Alaska, to provide broader descriptions of environmental preferences of diatom taxa by extending the range of environmental variables such as alkalinity and specific conductance.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.313
Threshold uncertainty score0.672

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 studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
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 head0.012
GPT teacher head0.206
Teacher spread0.194 · 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.

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

Citations13
Published2002
Admission routes4
Has abstractyes

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