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Record W2178696600 · doi:10.1603/0046-225x-30.4.736

Biology of a Willow Leafblotch Miner,<i>Micrurapteryx salicifoliella</i>, (Lepidoptera: Gracillariidae) in Alaska

2001· article· en· W2178696600 on OpenAlexaboutno aff
Malcolm M. Furniss, Edward H. Holsten, Michael Foote, M. A. Bertram

Bibliographic record

VenueEnvironmental Entomology · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicFire effects on ecosystems
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyInstarWillowGracillariidaeLepidoptera genitaliaLarvaHatchingBotanyLeaf minerPupaInsectHorticultureEcology

Abstract

fetched live from OpenAlex

During 1991–1993 and 1998–1999, a leafblotch miner, Micrurapteryx salicifoliella (Chambers), infested willows (Salix spp.) throughout a vast area in drainages of the Yukon and Kuskokwim Rivers, AK. The insect’s biology had not been studied and it was unknown from Alaska. Eggs were laid singly, cemented to the epidermis of undersides of leaves. Hatched larvae mined directly into leaves beneath the chorion. Five instars occurred. Mining by the first three instars created little external evidence of their presence. Fourth and fifth instars, however, created conspicuous necrotic, reddish, blotches that often covered the upper leaf surface of susceptible host willows. Mature larvae exited through slits made on the undersides of leaves and spun cocoons on either leaf surface before pupating from mid-July into August. Adults emerged in late July and August and overwintered in that stage. Ten species of willows were infested, severity of which differed somewhat between localities and species. Feltleaf willow, S. alaxensis (Andersson) Coville, was not infested, apparently due to its under leaf surface being covered by a protective felt-like mat of hairs that prevented attachment of eggs to the epidermis, a condition deemed to be critical to survival of larvae upon hatching.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.063

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 studies0.0010.000
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 head0.005
GPT teacher head0.209
Teacher spread0.203 · 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

Citations11
Published2001
Admission routes1
Has abstractyes

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