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Record W3045338266 · doi:10.1073/pnas.2003604117

Crop rotation mitigates impacts of corn rootworm resistance to transgenic Bt corn

2020· article· en· W3045338266 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

VenueProceedings of the National Academy of Sciences · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsMcGill University
FundersNational Science Foundation
KeywordsGenetically modified maizeBacillus thuringiensisWestern corn rootwormAgronomyCropSowingGenetically modified cropsBiologyPEST analysisCrop rotationResistance (ecology)Zea maysGenetically modified organismTransgeneBacteriaHorticulture

Abstract

fetched live from OpenAlex

Significance The western corn rootworm, a major insect pest in the Midwestern United States, has evolved resistance to genetically engineered corn that produces insecticidal proteins derived from the bacterium Bacillus thuringiensis (Bt). To evaluate tactics for reducing the damage caused by resistant rootworms, we analyzed field data for 2011 to 2016 from Illinois, Iowa, and Minnesota. The frequency of corn fields with severe rootworm damage was reduced by rotating corn with other crops and by not planting the same type of Bt corn year after year in the same field. These results support the EPA’s recommendations to decrease the negative impacts of rootworm resistance to Bt corn by rotating corn with other crops and diversifying the type of Bt corn planted.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.249

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 head0.024
GPT teacher head0.287
Teacher spread0.263 · 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