MétaCan
Menu
Back to cohort
Record W4362454683 · doi:10.1016/j.isci.2023.106557

On-site applicable diagnostic fluorescent probe for fire blight bacteria

2023· article· en· W4362454683 on OpenAlexfundno aff
Yuna Jung, Ji Hye Jin, Minji Jung, In Sun Hwang, Nguyen Trung Vu, Yoon Kyung Park, Na Hee Kim, Ki–Ho Park, Chang‐Sik Oh, Dokyoung Kim

Bibliographic record

VenueiScience · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsnot available
FundersCHEO Research InstituteMinistry of Science ICT and Future PlanningNational Research Foundation of KoreaKAIST Creative Research InitiativesMinistry of EducationNational Research Foundation
KeywordsFire blightErwiniaBlightPathogenPlant biologyBiologyBacteriaHorticultureBotanyMicrobiology

Abstract

fetched live from OpenAlex

Fire blight is a representative plant infection that contaminates edible plants and causes socio-economic problems in agricultural and livestock industries globally. It is caused by the pathogen Erwinia amylovora ( E. amylovora ) creates lethal plant necrosis and spreads rapidly across plant organs. We newly disclose the fluorogenic probe B-1 for real-time on-site detection of fire blight bacteria for the first time. B-1 exhibited no emission signals but manifested bright emission properties in the presence of fire blight bacteria. Based on these features, fluorescence imaging of the fire blight bacteria and its real-time detection from the infected host plant tissues were conducted. The detection limit against E. amylovora was 10 2 CFU/mL, which had excellent sensitivity. The fluorogenic probe-based on-site diagnostic technology was supplemented by introducing a new portable UV device. This work holds enormous potential to be a new advanced tool for detecting fire blight in agricultural and livestock industries.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.918
Threshold uncertainty score0.792

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)0.0000.001

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 head0.023
GPT teacher head0.224
Teacher spread0.202 · 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 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

Citations9
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueiScienceSame topicPlant Pathogenic Bacteria StudiesFrench-language works237,207