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Record W1983412321 · doi:10.5558/tfc2011-028

New and updated information on Scleroderris canker in the Atlantic Provinces

2011· article· en· W1983412321 on OpenAlexafffundvenueabout
G. R. Warren, K. J. Harrison, G. Laflamme

Bibliographic record

VenueThe Forestry Chronicle · 2011
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsNova Scotia Department of AgricultureNatural Resources CanadaCanadian Forest Service
FundersCanadian Forest ServiceU.S. Forest Service
KeywordsQuarantineCankerNova scotiaGeographyListing (finance)Race (biology)Endangered speciesArchaeologyBiologyEcologyHabitatBusinessBotany

Abstract

fetched live from OpenAlex

This note reviews the status of the European race of Scleroderris canker (Gremmeniella abietina [Lagerb.] Morelet), an exotic pest, in the Atlantic Provinces of Canada. The European race of Scleroderris canker is a disease of plant quarantine significance, and many reports have been written since it was initially recognized in New York State in 1975 and subsequently found in Quebec in 1978. The race testing methods have improved in the intervening three decades. This report clarifies the situation for regulatory authorities, the forest industry and provincial officials in New Brunswick, Nova Scotia, Prince Edward Island and Newfoundland. We are also reporting a breach of the quarantine zone of that disease in Newfoundland. A complete listing of isolates tested from New Brunswick and the known distribution for Newfoundland are included as tables and maps.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.242
Threshold uncertainty score0.486

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0070.006
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0180.003

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 head0.012
GPT teacher head0.198
Teacher spread0.186 · 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

Citations4
Published2011
Admission routes4
Has abstractyes

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