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Record W4376874627 · doi:10.1080/07060661.2023.2215208

Occurrence of <i>Erysiphe friesii</i> var. <i>dahurica</i> on purple buckthorn ( <i>Rhamnus purpurea</i> ) from Pakistan

2023· article· he· W4376874627 on OpenAlexvenueno aff
Najam‐ul‐Sehar Afshan, Saliha Afzal, Maria Riaz, Arooma Saleem, Abdul Rehman Niazi, Abdul Nasir Khalid

Bibliographic record

VenueCanadian Journal of Plant Pathology · 2023
Typearticle
Languagehe
FieldAgricultural and Biological Sciences
TopicPowdery Mildew Fungal Diseases
Canadian institutionsnot available
FundersUniversity of PeshawarUniversity of the Punjab
KeywordsPowdery mildewBiologyPathogenicityBotanyInoculationTraditional medicineHorticultureMicrobiologyMedicine

Abstract

fetched live from OpenAlex

Leaves of purple buckthorn observed with powdery mildew symptoms were collected from the district Abbottabad, Khyber-Pakhtunkhwa, Pakistan during field tours from August to October between 2017 and 2021. Morpho-anatomical features and molecular phylogenetic analysis were used to identify the causal agent as Erysiphe friesii var. dahurica. Pathogenicity was confirmed on healthy leaves of Rhamnus purpurea in a glasshouse at 25°C with 75 to 80% humidity and after inoculation, white powdery colonies appeared after 7 to 10 days. The fungal colonies were checked for the confirmation of pathogen. Erysiphe friesii var. dahurica on R. purpurea is being described here as a new record for Pakistan and Rhamnus purpurea is a new host, reported for the first time.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.250
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.230
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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
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

Citations1
Published2023
Admission routes1
Has abstractyes

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