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Record W2098209253 · doi:10.22230/jem.2006v7n3a357

Laminated Root Rot Forest Health Stand Establishment Decision Aid

2006· article· en· W2098209253 on OpenAlexaff
Rona N. Sturrock, Stefan Zeglen, Jennifer Turner

Bibliographic record

VenueJournal of Ecosystems and Management · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsGovernment of British ColumbiaCanadian Forest Service
Fundersnot available
KeywordsRoot rotHabitatTree healthForest healthVegetation (pathology)Resource (disambiguation)HazardAgroforestryGeographyBiologyForestryEcologyHorticultureComputer scienceMedicine

Abstract

fetched live from OpenAlex

Laminated root rot (Phellinus weirii) is the most prominent root disease of Douglas-fir in coastal coniferous forests and is endemic throughout its host's range in British Columbia. The disease spreads primarily via root contact and can attack and gradually kill trees throughout their life cycle. It can lower stand volume by 40–70% on infected sites and acts as a stand-altering disturbance agent. The retention of infected stumps and residual trees (via partial cutting) can perpetuate the incidence of laminated root rot in a regenerating stand by leaving material on site to act as reservoirs of disease. To mitigate disease impact, a good understanding of the distribution and biology of P. weirii is necessary. The cedar form of P. weirii, which is responsible for a butt rot in western redcedar, is not covered in this extension note.The Stand Establishment Decision Aid (SEDA) format has been used to extend information on various vegetation and forest health concerns in British Columbia. This decision aid summarizes information that relates current management regimes to the spread and effects of laminated root rot. The first page provides general information, hazard ratings for some of the biogeoclimatic zones and subzones of the Coast Forest Region, and silvicultural considerations for laminated root rot. The second page outlines the growth and yield implications and other effects and associations of the disease. This page also includes a valuable resource and reference list to provide readers with more detailed information. Reference material that is not available on-line can be ordered through libraries or the Queen's Printer at: www.qp.gov.bc.ca.

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)0.003
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.357
Threshold uncertainty score0.917

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0020.000
Scholarly communication0.0040.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.3570.069

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 head0.005
GPT teacher head0.212
Teacher spread0.208 · 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.

Study designNot applicable
Domainnot available
GenreMethods

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
Published2006
Admission routes1
Has abstractyes

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