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Record W2952626388 · doi:10.4039/tce.2019.20

Natural history of Corythucha juglandis and Gargaphia tiliae (Hemiptera: Tingidae) in Ontario and Québec, Canada

2019· article· en· W2952626388 on OpenAlexaffabout
M. Javahery

Bibliographic record

VenueThe Canadian Entomologist · 2019
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicHemiptera Insect Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsBiologyTingidaeNymphDiapauseOverwinteringVoltinismHemipteraFecundityBotanyZoologyEcologyLarvaPopulation

Abstract

fetched live from OpenAlex

Abstract The natural history ofCorythucha juglandis(Fitch) andGargaphia tiliae(Walsh) (Hemiptera: Tingidae) was studied in Ontario and Québec, Canada. These univoltine species overwinter as adults in leaf litter in a state of reproductive diapause and become active in April or May. They are specific to their host plants. Adults, eggs, and nymphs of both species were collected from the underside of leaves of host plants. The reproductive systems of both male and female, as well as eggs, nymphs, and operculum of the eggs of the two species, are described and illustrated. Fecundity, incubation period, development of nymphs, feeding, mating, and oviposition were studied. Mating was end-to-end at an angle of 35–40°. The reproductive potential, oviposition pattern, and site selection in the two species were investigated. Parental care of eggs and brood ofG. tiliaeis also reported and illustrated. Ocelli, true spermathecae, true egg micropyles, and true egg burster are absent in the two species. Fertilisation takes place before chorion formation. Adults, nymphs, and new generation aggregate on the underside of leaves of their host or nearby deciduous plants. In October they fly a short distance to overwintering sites within leaf litter.

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 score0.015
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.168
Teacher spread0.155 · 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

Citations3
Published2019
Admission routes2
Has abstractyes

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