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Record W3207900789 · doi:10.1139/cjb-2021-0050

<i>Calonectria vigiensis</i> sp. nov. (Hypocreales, Nectriaceae) associated with dieback and sudden-death symptoms of <i>Theobroma cacao</i> from Mérida state, Venezuela

2021· article· en· W3207900789 on OpenAlexvenueno aff
S. Castillo, Jane E. Stewart

Bibliographic record

VenueBotany · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Pathogens and Fungal Diseases
Canadian institutionsnot available
Fundersnot available
KeywordsHypocrealesBiologyTheobromaBotanyPhylogenetic treeAscomycotaGeneGenetics

Abstract

fetched live from OpenAlex

Calonectria vigiensis sp. nov. (Hypocreales, Nectriaceae) is a newly described species associated with cacao (Theobroma cacao L.) in Mérida state, Venezuela. This new species was identified using morphological methods as well as DNA sequencing and multigene phylogenetic analyses. Based on phylogenetic analyses of a combined dataset including translation elongation factor 1-α (tef1), calmodulin (cmdA), and β-tubulin (btub) genes across closely related species within Calonectria, a new species was identified as Ca. vigiensis within the Calonectria naviculata species complex, but it was determined to be well-separated from genetically close species such as Calonectria multilateralis L. Lombard & Crous, Calonectria multinaviculata R.F. Alfenas, L. Lombard & Crous, and Calonectria naviculata Crous & M.J. Wingf. This work reports 1 previously undescribed fungal species (Ca. vigiensis) that is associated with dieback and sudden-death symptoms in T. cacao plantations in Mérida state, Venezuela.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.024
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.007
GPT teacher head0.202
Teacher spread0.195 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations18
Published2021
Admission routes1
Has abstractyes

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