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Record W2020724592 · doi:10.13031/2013.22369

Analysis of Compression as a Disinfestation Technique for the Hessian Fly (Mayetiola destructor (Say)) in Timothy Hay: Second Field Test Results

2006· article· en· W2020724592 on OpenAlexaboutno aff
S. Talebi, Lope G. Tabil, Andy R. Opoku, M. Shaw, W. J. Crerar, J. W. Whistlecraft

Bibliographic record

VenueASABE/CSBE North Central Intersectional Meeting · 2006
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect Pest Control Strategies
Canadian institutionsnot available
Fundersnot available
KeywordsHayMoistureAnimal scienceMathematicsAgronomyHorticultureBiologyMaterials scienceComposite material

Abstract

fetched live from OpenAlex

Baled Canadian timothy hay underwent testing at a hay processing plant in order to determine if compression could be used as a disinfestation protocol for Hessian fly (Mayetiola destructor (Say)) puparia. This has been the second field testing conducted for this project. Pressure sensitive films were randomly distributed; throughout the material, on the chamber walls, and in different orientations, to assess the hay rebaler units ability to induce uniform pressure. Attached to the pressure films were organdy cages containing wheat seedlings infested with Hessian fly puparia. The variables which were tested included the hold time (0.5 and 2.0 s), applied pressure (10.34 and 12.41 MPa), and timothy hay quality (low moisture first cut, high moisture first cut and high moisture second cut hay). A total of 36 tests were completed which included 3 replicates of each condition. Within each test, 10 Hessian fly cages and 10 pressure sensitive films were used. Each fly cage contained approximately 168.56 Hessian puparia, translating into a total Hessian fly count of 60681 for the entire field test. Analysis of the pressure sensitive films showed that 100% of the hay experienced at least 200 kPa (29 psi) of pressure. Following the 75 day post experiment emergence period 5 (0.008%) of the puparia survived from one of the cages in test 4 and one cage in test 5.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.511
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.228
Teacher spread0.219 · 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.

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

Citations0
Published2006
Admission routes1
Has abstractyes

Explore more

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