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Record W2137047685 · doi:10.4039/ent132259-2

MERIDIC DIET FOR <i>ENDOPIZA VITEANA</i> (LEPIDOPTERA: TORTRICIDAE)

2000· article· en· W2137047685 on OpenAlexaboutno aff
Sudha Nagarkatti, Andrew J. Muza, Michael C. Saunders

Bibliographic record

VenueThe Canadian Entomologist · 2000
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsnot available
Fundersnot available
KeywordsTortricidaeVitaceaeLepidoptera genitaliaPEST analysisBiologyHorticultureVitis viniferaBotany

Abstract

fetched live from OpenAlex

The grape beny moth, Endopiza viteana (Clemens), is the key pest of cultivated grapes in the eastern United States and Canada (Gleissner 1943; Ker 1990). Laboratory techniques have been developed for large-scale rearing of this tortricid (Taschenberg 1951, 1969) using grape berries of Vitis vinifera L. (Vitaceae) and locally grown varieties. The use of grape berries is unsatisfactory because berries attract fruit flies, develop mold, and rot rapidly at normal laboratory temperatures (Taschenberg 1969). In this paper, we describe a diet for rearing E. viteana and the process that was undertaken in its development.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.886
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

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)0.0080.000

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 head0.243
Teacher spread0.215 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations15
Published2000
Admission routes1
Has abstractyes

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