MétaCan
Menu
Back to cohort
Record W2728376865 · doi:10.14264/uql.2017.490

Plant pathogenic Magnaporthales in Australia, with particular reference to Pyricularia oryzae on wild and cultivated rice

2017· dissertation· en· W2728376865 on OpenAlex
Wanporn Khemmuk

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

VenueThe University of Queensland · 2017
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsUniversity of Waterloo
FundersOffice of the Civil Service CommissionAustralian Government
KeywordsPyriculariaBiologyBotanyFungusMagnaportheOryza sativaGeneMagnaporthe griseaGenetics

Abstract

fetched live from OpenAlex

The Magnaporthales is an order of fungi that contains plant pathogens and saprobes. This order consists of three families, Pyriculariaceae, Magnaporthaceae and Ophioceraceae, which are phylogenetically, morphologically and ecologically distinct. To date, about 200 species have been described in Magnaporthales, of which approximately 50% are plant pathogens. Some species are important pathogens of grasses and cereals such as the rice blast
\nfungus Pyricularia oryzae (syn. Magnaporthe oryzae) and the take-all pathogen of cereals Gaeumannomyces graminis. The study of classification and identification of Magnaporthales
\nin Australia and pathogenicity of Pyricularia oryzae are reported in this thesis.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.507

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 head0.017
GPT teacher head0.228
Teacher spread0.211 · 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