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Record W279076224

Impact of a Regeneration Method and Vertical Position on Juvenile Wood Properties of Jack Pine in Northwestern Ontario

2011· article· en· W279076224 on OpenAlexaboutno aff
Mathew Leitch, Chander Shahi, Karen Roberts Jackson

Bibliographic record

VenueWood and Fiber Science (Society of Wood Science and Technology) · 2011
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsnot available
Fundersnot available
KeywordsJack pineJuvenileRegeneration (biology)Forest regenerationYoung's modulusSeedingPinus <genus>Environmental scienceTaigaForestryBotanyBiologyAgronomyMaterials scienceGeographyEcologyAgroforestryComposite material
DOInot available

Abstract

fetched live from OpenAlex

The effects of regeneration methods and vertical positions on three juvenile wood properties of 25-yr-old jack pine grown in the Boreal forests of northwestern Ontario were studied. Modulus of elasticity and modulus of rupture in static bending and specific gravity were determined from clear wood specimens of three vertical positions of trees selected from four stands that were aerial-seeded, Bracke-seeded, planted, and postfire naturally regenerated. Juvenile wood properties among the four regeneration methods were not significantly different, however, they were found to vary significantly among the vertical positions for three of the methods: aerial-seeded, Brack-seeded, and postfire natural stands. The wood properties of juvenile jack pine were quite variable, irrespective of the regeneration method, but there is a substantial potential in separating jack pine logs along the stem for various uses based on the regeneration method.

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)0.001
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.834

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.022
GPT teacher head0.238
Teacher spread0.216 · 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 designBench or experimental
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

Citations1
Published2011
Admission routes1
Has abstractyes

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