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Record W2056974295 · doi:10.1094/pdis.2004.88.5.490

Conventional and Real-Time PCR-Based Assay for Detecting Pathogenic <i>Alternaria brassicae</i> in Cruciferous Seed

2004· article· en· W2056974295 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePlant Disease · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsAlternaria brassicaeBiologyPathogenic fungusPolymerase chain reactionPathogenReal-time polymerase chain reactionFungusAlternariaPathogenicityBotanyGeneMicrobiologyGenetics

Abstract

fetched live from OpenAlex

Alternaria brassicae is an important seedborne pathogenic fungus responsible for the black spot disease of crucifers. Sanitary control of commercial seed is necessary to limit the spread of this pathogen. Current detection methods, based on culture and morphological identification of the fungus, are time consuming, laborious, and not always reliable. Therefore, a polymerase chain reaction (PCR)-based assay was developed with A. brassicae-specific primers designed on the basis of the sequence of two clustered genes potentially involved in pathogenicity. Two sets of primers were selected for conventional and real-time PCR, respectively. In both cases, A. brassicae was specifically detected using DNA extracted from seed. The real-time PCR-based method presented here can be automated easily and preliminary results indicate that it is efficient for quantitative estimation of seed infection.

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 score0.877
Threshold uncertainty score0.698

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 head0.010
GPT teacher head0.225
Teacher spread0.215 · 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