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Record W2310274055 · doi:10.1093/forestry/cpw018

Forest health in a changing world: effects of globalization and climate change on forest insect and pathogen impacts

2016· article· en· W2310274055 on OpenAlexafffund
Tod D. Ramsfield, Barbara Bentz, Massimo Faccoli, Hervé Jactel, Eckehard G. Brockerhoff

Bibliographic record

VenueForestry An International Journal of Forest Research · 2016
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsCanadian Forest Service
FundersCanadian Forest ServiceMinistry of Business, Innovation and Employment
KeywordsClimate changeEcosystemEcosystem servicesEcologyForest ecologyGlobal warmingGlobal changeEffects of global warmingBiologyAgroforestryGeographyEnvironmental resource managementEnvironmental science

Abstract

fetched live from OpenAlex

FIGURE 18. Male wings of species of Conchopus: (a) Conchopus acrosticalis (Parent); (b) Conchopus ciliatus sp. nov.; (c) Conchopus crassinervis sp. nov.; (d) Conchopus minutus sp. nov.; (e) Conchopus menehune sp. nov.; (f) Conchopus pacificus sp. nov.

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 score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0110.000

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 head0.034
GPT teacher head0.348
Teacher spread0.313 · 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

Citations307
Published2016
Admission routes2
Has abstractyes

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Same venueForestry An International Journal of Forest ResearchSame topicForest Insect Ecology and ManagementFrench-language works237,207