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Record W2752050044 · doi:10.18474/0749-8004-37.2.166

Influence of Temperature on Development of Hemlock Woolly Adelgid (Homoptera: Adelgidae) Progrediens

2002· article· en· W2752050044 on OpenAlexaff
Scott M. Salom, Alexei A. Sharov, Warren T. Mays, David R. Gray

Bibliographic record

VenueJournal of Entomological Science · 2002
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsCanadian Forest Service
Fundersnot available
KeywordsTsugaBiologyHomopteraNymphInstarDegree dayDegree (music)DamselflyEcologyLarvaHorticulturePEST analysis

Abstract

fetched live from OpenAlex

There are three generations of hemlock woolly adelgid, Adelges tsugae Annand, that develop on the secondary host Tsuga spp. Two of these generations, the progrediens and sexupara, are present concurrently in the spring. Sistens are present from early summer until the following spring. Constant temperature studies were conducted to quantify the influence of temperature on hemlock woolly adelgid progrediens development and to develop a degree-day model. Progrediens development in the field also was sampled to test the accuracy of the model. Hemlock woolly adelgid progrediens developed at temperatures ranging from 4 to 22°C. Duration of first-instar progrediens was less dependent on temperature than in the other nymphal stages and may have been a result of the difficulty in determining the median point of settled first-instar nymphs and the inability to distinguish progrediens from sexuparae at this stage. Duration of development from second stadium to adult was highly dependent on temperature. Using this range of progrediens stages, it was determined that the low temperature threshold was 3.9°C and requires 222 degree-days to reach the adult stage. The number of degree-days needed to complete development in the field ranged from 110 to 123% of degree-days required to complete development in the laboratory.

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)0.000
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: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.029
GPT teacher head0.245
Teacher spread0.216 · 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

Citations25
Published2002
Admission routes1
Has abstractyes

Explore more

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