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Record W1980537071 · doi:10.1191/095968301677768783

The Holocene record of lake levels of Mansell Pond, central Maine, USA

2001· article· en· W1980537071 on OpenAlexaboutno aff
Heather Almquist, Ann Dieffenbacher-Krall, Riley Flanagan-Brown, David Sanger

Bibliographic record

VenueThe Holocene · 2001
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsHoloceneRadiocarbon datingMacrofossilGeologyPhysical geographyCharcoalWater levelHolocene climatic optimumStructural basinOceanographyGeographyPaleontologyCartography

Abstract

fetched live from OpenAlex

A palaeohydrological study of Mansell Pond, a small (4 ha), closed-basin lake in central Maine, revealed distinct changes in lake levels throughout the Holocene. We examined the texture, organic content and macrofossils of eight cores and obtained 29 radiocarbon dates on transitions between sedimentary units. The water level fell between about 8000 14 C yr BP and 6000 14 C yr BP, and remained low until after 5000 14 C yr BP. The water level may have begun rising as early as 4750 14 C yr BP, with the most rapid increase occurring from 3225 14 C yr BP to 2780 14 C yr BP. This interpretation varies at some points from an earlier assessment of Mansell Pond's Holocene lake levels that was based on pollen and charcoal evidence from a single core. Records of Holocene lake levels from eastern Canada, the Lake Ontario region and southern New England are inconsistent with each other, suggesting that the influence of dominant air masses has been highly localized in this region

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.282
Threshold uncertainty score0.562

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.033
GPT teacher head0.253
Teacher spread0.221 · 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 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

Citations61
Published2001
Admission routes1
Has abstractyes

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