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Record W2022806918 · doi:10.5558/tfc79054-1

Ice storm damage: Effects of competition and fertilization on near-ground vegetation

2003· article· en· W2022806918 on OpenAlex
R. A. Lautenschlager, John Pedlar, Cathy Nielsen

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Forestry Chronicle · 2003
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsMinistry of Natural Resources and ForestryCanadian Forest ServiceOntario Forest Research Institute
FundersGovernment of CanadaGovernment of Ontario
KeywordsDeciduousVegetation (pathology)Species richnessAgronomyShrubLimeHerbaceous plantPlant coverEnvironmental scienceForestryEcologyBiologyGeography

Abstract

fetched live from OpenAlex

Increasing ice damage to tree canopies led to increased cover of near-ground deciduous tree species, herbaceous species, and total vegetative cover but reduced fern cover in managed sugar maple stands in southeastern Ontario. Near-ground vegetation did not respond to the addition of fertilizers [2000 kg/ha of dolomitic lime, 200 kg/ha of both phosphorus (P) and potassium (K), or both lime and P and K]. Vegetation management with glyphosate in these stands reduced near-ground deciduous tree cover 86%, while grass and sedge cover were reduced 69%, and shrub cover was reduced 98% two years after treatment. Although species richness was initially reduced by vegetation management, species richness levels on treated plots were comparable to, or higher than, those on untreated plots by two years after treatment. Key words: Acer saccharum, glyphosate, plant cover

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.218

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.008
GPT teacher head0.213
Teacher spread0.205 · 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