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DATA FROM: Marginal population dynamics at the leading edge of a temperate species in the boreal-temperate ecotone

2023· dataset· en· W4394413088 on OpenAlexaboutno aff
Pierre‐Yves Mondou Laperrière, Todor S. Minchev, Pierre Grondin, Martin Lavoie, Guillaume de Lafontaine

Bibliographic record

VenueFigshare · 2023
Typedataset
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsTemperate climateEcotoneBorealEcologyPopulationGeographyBiologyDemographyHabitat

Abstract

fetched live from OpenAlex

Data from: Marginal population dynamics at the leading edge of a temperate species in the boreal-temperate ecotone. A MSExcel spreadsheet including data used to estimate minimal stand age and tree size structure, as well as the identification and radiocarbon dating of wood remains and charcoal particles from 8 marginal red maple stands at the leading edge of the species' range in eastern Canada.## Description of the Data and file structureSheet 1 - Metadata. Provides details about the study sites (Site name, Sampling date, Longitude [decimal degrees north], Latitude [decimal degrees east], and Altitude [m above sea level]), and a glossary for species codes. Sheet 2 - Stand-size structure. At each site, the diameter at breast height (DBH in cm) of each tree (>2 cm DBH) inside a 400 square metre plot was measured with a tree caliper.Sheet 3 - Tree age. At each site, up to 10 of the largest Acer rubrum and Betula payrifera trees were cut down and disks were collected as close to the root collar as possible. Sampled disks were sanded and tree rings were counted. Trees were assigned to their emergence decade. Sheet 4 - Charcoal diversity. At each site, charcoal fragments extracted from 20 soil samples were identified to the highest taxonomic unit possible (TaxonID). For each TaxonID, data from the 20 sampling microsites were aggregated for each stand.Sheet 5 - Radiocarbon dates. Radiocarbon date of charcoal particles and wood remains extracted from forest soil or forest hollow sediments. For each datem, UCIrvine is the reference number at the Keck Carbon Cycle AMS Facility (University of California Irvine); ULaval is the refernce number at the Laboratoire de radiochronologie (Université Laval, Québec); F14C is the is percent modern carbon ± SD ; D14C is the per mille depletion in sample carbon 14 prior to isotopic fractionation correction ± SD ; 14C age is the non-calibrated radiocarbon carbon dates ± SD intervals.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.072
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0510.013

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 head0.060
GPT teacher head0.286
Teacher spread0.226 · 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 designNot applicable
Domainnot available
GenreDataset

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
Published2023
Admission routes1
Has abstractyes

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