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Record W4409046136 · doi:10.1094/php-02-25-0042-pdmr

Foliar and Seed Treatment Products for the Control of Beet Curly Top in Idaho Sugar Beet, 2024

2025· article· en· W4409046136 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePlant Health Progress · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Disease Management Techniques
Canadian institutionsKimberly-Clark (Canada)
Fundersnot available
KeywordsSugar beetBiologyAgronomyHorticultureSeed treatmentGermination

Abstract

fetched live from OpenAlex

Sugar beet is highly susceptible to the beet curly top virus (BCTV), which significantly reduces sugar yield and is prevalent in semi-arid growing regions. Typical BCTV symptoms are leaf vein swelling, thickening, and curling, leading to chlorosis and plant death. Insecticide seed treatments with neonicotinoids have been the primary management option, but neonicotinoids face regulatory restrictions due to environmental concerns. Thus, insecticides and biochemicals that are relatively safer to use were evaluated for efficacy against BCTV during the 2024 growing season. New treatments identified in this work can potentially be used by the growers to improve sugar beet BCTV management.

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.

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 score0.609
Threshold uncertainty score0.157

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 studies0.0000.000
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 head0.021
GPT teacher head0.287
Teacher spread0.266 · 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