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Record W1515499268

Effects of Cambial Age and Stem Height on Wood Density and Growth of Jack Pine Grown in Boreal Stands

2009· article· en· W1515499268 on OpenAlexafffund
Young-In Park, Ahmed Koubaa, Suzanne Brais, Marc J. Mazerolle

Bibliographic record

VenueWood and Fiber Science (Society of Wood Science and Technology) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsUniversité du Québec en Abitibi-Témiscamingue
FundersNatural Sciences and Engineering Research Council of CanadaMinistère du Développement Économique, de l’Innovation et de l’ExportationUniversité du Québec à Montréal
KeywordsPithBotanyBiologyBark (sound)TracheidPinus <genus>DendrochronologyCambiumHorticultureBorealWoody plantXylemEcology
DOInot available

Abstract

fetched live from OpenAlex

Jack pine specimens were examined for longitudinal and radial variations in selected wood quality parameters.Wood density and ring width of cross-sections were measured systematically from pith to bark along the merchantable stem using X-ray densitometry.Effects of cambial age and stem height were analyzed using a linear mixed model with two levels of nesting.A strong interaction between the two factors was found in corewood.Tree individual variation increased with cambial age for all studied wood properties and was larger in earlywood than in latewood.Radial patterns in the studied parameters closely approximated published ones in the lower stem but lessened considerably with increasing stem height.By contrast, longitudinal patterns reversed with cambial age in earlywood.High coordination was found between longitudinal patterns in corewood and radial patterns in the stem base, indicating a similar maturation pattern in the apical meristem and cambia.However, with increasing cambial age, this high coordination disappeared rapidly.

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)0.001
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 score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.004
GPT teacher head0.191
Teacher spread0.187 · 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

Citations13
Published2009
Admission routes2
Has abstractyes

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