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Record W2041870047 · doi:10.5558/tfc80375-3

Retrospective evaluation of the onset period of the visual symptoms of dieback in five Appalachian sugar maple stand types

2004· article· en· W2041870047 on OpenAlexvenueaboutno aff
Guy R. Larocque, Colette Ansseau

Bibliographic record

VenueThe Forestry Chronicle · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicForest ecology and management
Canadian institutionsnot available
Fundersnot available
KeywordsMapleSugarMarshPeriod (music)GeographyBiologyBotanyEcologyWetland

Abstract

fetched live from OpenAlex

In the early 1980s, a sharp increase in dieback of sugar maple (Acer saccharum Marsh.) was reported across large areas of the north-eastern American continent. Despite numerous studies, there are conflicting interpretations as to the causes of dieback that can be linked to uncertainties as to when the occurrence of the visual symptoms appeared. Three different approaches were used to determine the onset period of the visual symptoms of dieback in Appalachian sugar maple stands: (1) dendrochronological analysis; (2) retrieval of information in official documents that reported dieback symptoms; and (3) development of a questionnaire sent to private forest land owners. Dieback severity was evaluated annually in 104 Appalachian sugar maple stands in southwestern Quebec. Results indicated that the pattern of dieback progression did not vary significantly among the five different types of sugar maple stand that were examined. The three investigative approaches led to the conclusion that the onset of the visual symptoms occurred between 1974 and 1978. Key words: Acer saccharum Marsh., dieback, sugar maple, symptoms, progression

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 score0.208
Threshold uncertainty score0.414

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 studies0.0010.000
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 head0.007
GPT teacher head0.243
Teacher spread0.236 · 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
Published2004
Admission routes2
Has abstractyes

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