MétaCan
Menu
Back to cohort
Record W1952883682 · doi:10.1139/cjb-2015-0140

The palaeoecological record of gray birch (<i>Betula populifolia</i>) in eastern North America

2015· article· en· W1952883682 on OpenAlexafffundvenue
Martin Lavoie, Stéphanie Pellerin

Bibliographic record

VenueBotany · 2015
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsUniversité de MontréalUniversité LavalCenter for Northern Studies
FundersUniversité de Montréal
KeywordsMacrofossilPeatHoloceneOmbrotrophicDeglaciationPine barrensEcologyTree lineRange (aeronautics)PaleoecologyBiologyBogPhysical geographyClimate changeGeographyPaleontology

Abstract

fetched live from OpenAlex

Gray birch (Betula populifolia Marshall) is a pioneer tree species that generally colonizes both poor, dry soils and disturbed sites. Its current range appears to be expanding, and it has been observed to establish gradually and often massively in ombrotrophic peatlands. We examined data from sites within and beyond its continuous range that have been subjected to macrofossil analyses to determine whether this species was more abundant during certain periods since deglaciation. The most abundant macroremains were found in the eastern United States and date from the early Holocene (11 700 – 7000 cal. BP). Gray birch was present in mixed forests in which fires were probably more frequent than today. Only a few sites, located in pine barrens that experienced recurrent fires, show a continuous presence of the species during the middle and late Holocene. Palaeoecological data suggest that the colonization of peatlands by gray birch is a recent phenomenon (20th century), and one unique in peatland history. Anthropic disturbances seem to create conditions that foster this species, which could consequently increase its range in the coming decades.

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 score0.074
Threshold uncertainty score0.147

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 science0.0000.000
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 head0.036
GPT teacher head0.261
Teacher spread0.224 · 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

Citations3
Published2015
Admission routes3
Has abstractyes

Explore more

Same venueBotanySame topicGeology and Paleoclimatology ResearchFrench-language works237,207