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Record W4324319289 · doi:10.11646/phytotaxa.587.3.4

Three interesting fungi from American bullfrog larvae (Rana catesbeiana) in Yunnan, China

2023· article· en· W4324319289 on OpenAlexaboutno aff
Er-Fu Yang, Wenhua Lu, Saowaluck Tibpromma, Dong-Qin Dai, Ying Gao, Itthayakorn Promputtha, Samantha C. Karunarathna

Bibliographic record

VenuePhytotaxa · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsBullfrogBiologyLithobatesLarvaChinaIntroduced speciesTaxonPhylogenetic treeInvasive speciesBotanyAmphibianZoologyEcologyGeneArchaeology

Abstract

fetched live from OpenAlex

American bullfrog (Rana catesbeiana) is an alien invasive species in southwest China native to the central and eastern United States and southeastern Canada. After the 19th century, they extensively appear in aquaculture and natural environments worldwide as a delicious food but also creating a serious threat to the survival and development of native species. In the early rainy season, dead American bullfrog larvae floating on the water of unnamed ponds in Qujing Normal University, Yunnan Province, China were collected and brought to the mycology laboratory, and three interesting fungal strains were isolated from their intestinal contents. Phylogenetic analyses were carried out on the resultant isolates based on multiple gene sequences (ITS, LSU, rpb2, tub2, tef1-α), and results confirmed that the three strains belong to three species, namely; Boothiella tetraspora, Sordaria macrospora and Trichoderma virens. The morphological characteristics were also used to describe the fungal taxa. Photographic plates, descriptions, and phylogenetic trees that show the placements of the fungal species are reported herein.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.770
Threshold uncertainty score0.664

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 head0.014
GPT teacher head0.244
Teacher spread0.230 · 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 designObservational
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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