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Record W2904124528 · doi:10.1126/science.aau5445

A femtomolar-range suicide germination stimulant for the parasitic plant <i>Striga hermonthica</i>

2018· article· en· W2904124528 on OpenAlexafffund
Daisuke Uraguchi, Keiko Kuwata, Yuh Hijikata, Rie Shigetomi Yamaguchi, Hanae Imaizumi, Sathiyanarayanan AM, Christin Rakers, Narumi Mori, Kohki Akiyama, Stephan Irle, Peter McCourt, Toshinori Kinoshita, Takashi Ooi, Yuichiro Tsuchiya

Bibliographic record

VenueScience · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Parasitism and Resistance
Canadian institutionsUniversity of Toronto
FundersAdvanced Low Carbon Technology Research and Development ProgramJapan Society for the Promotion of ScienceNatural Sciences and Engineering Research Council of CanadaAmerican Friends of the Alexander von Humboldt Foundation
KeywordsStriga hermonthicaStrigaStrigolactoneParasitic plantGerminationBiologyOrobancheAgronomyBotanyHost (biology)EcologyMutantGeneBiochemistry

Abstract

fetched live from OpenAlex

A step toward control of a noxious weed The parasitic plant Striga hermonthica causes extensive crop losses, particularly in Africa. Strigolactone hormones can be used to initiate germination of Striga seeds when no host crop is present, which causes the nascent Striga plants to die. Unfortunately, strigolactones are also used by crop plants to establish beneficial mutualisms. Uraguchi et al. developed a hybrid molecule that can initiate Striga germination without interfering with strigolactone-dependent events in the host (see the Perspective by Bouwmeester). The compound has the potential to diversify routes toward protecting fields from Striga infestation. Science , this issue p. 1301 ; see also p. 1248

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.267
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations147
Published2018
Admission routes2
Has abstractyes

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