MétaCan
Menu
Back to cohort
Record W2052038414 · doi:10.1080/01140671.2001.9514158

Detection of <i>Erwinia amylovora</i> in plant material using novel polymerase chain reaction (PCR) primers

2001· article· en· W2052038414 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

VenueNew Zealand Journal of Crop and Horticultural Science · 2001
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsResearch & Development Corporation
Fundersnot available
KeywordsErwiniaFire blightPolymerase chain reactionBiologyBacteriaMicrobiologyDNABotanyGeneticsGene

Abstract

fetched live from OpenAlex

Abstract A rapid and sensitive method has been developed for the specific detection of Erwinia amylovora (Burr.) Winslow et al. using the polymerase chain reaction (PCR). The method involves amplification of a 187 bp DNA fragment, probably of chromosomal origin. All 69 cultures of E. amylovora in an international collection from 10 host species in five countries were successfully identified using the primers. In contrast, discrete PCR products were not amplified from 29 other Erwinia species or from 20 other species of plant pathogenic and sapro‐phytic bacteria. A detectable 187 bp product was consistently amplified from reactions containing as few as 10 colony‐forming units in culture and plant tissue. In field trials PCR could detect E. amylovora in apple flowers before fire blight symptoms occurred. This method may have potential in pre‐symptomatic disease 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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.184

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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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