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Record W2898369597 · doi:10.2135/cropsci2018.03.0217

Geographic Distribution and Intrabiotypic Variability of Four Soybean Aphid Biotypes

2018· article· en· W2898369597 on OpenAlexaboutno aff
Jessie L. Alt, Molly Ryan, David W. Onstad

Bibliographic record

VenueCrop Science · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsSoybean aphidBiologyAphidAgronomyCultivarHomopteraVirulenceAphididaePEST analysisHorticultureGeneGenetics

Abstract

fetched live from OpenAlex

Soybean aphid ( Aphis glycines ) is an invasive species in North America. For more than a decade, scientists have been working on host plant resistance, but the frequent identification of aphid isolates resistant (virulent) to soybean [ Glycine max (L.) Merr.] traits has caused concern amongst stakeholders interested in aphid control. To explore the diversity and distribution of these virulent aphids, we sampled soybean fields throughout the north‐central United States and southern Canada from 2011 through 2013. We evaluated soybean aphid performance on soybean cultivars containing Rag1 , Rag2 , and Rag3 loci and categorized them per standard biotypes. The soybean aphid biotypes were widely distributed across the sampled region. We also used the performance test scores to study the outliers and unexpected results according to biotype. Intrabiotypic variability is common in North America.

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)0.001
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 score0.908
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.216
Teacher spread0.205 · 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

Citations11
Published2018
Admission routes1
Has abstractyes

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