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Record W2600424508 · doi:10.1016/j.myc.2016.12.003

Ophiostoma sugadairense , a new species in the Ophiostoma piceae complex associated with bark beetles infesting Japanese larch in Japan

2017· article· en· W2600424508 on OpenAlexfundno aff
Jin Li, Hayato Masuya, Izumi Okane, Yuichi Yamaoka

Bibliographic record

VenueMycoscience · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
FundersUniversity of TsukubaFPInnovations
KeywordsOphiostomaBiologyBotanyInternal transcribed spacerBark beetleLarchPhylogenetic treeBark (sound)FungusGeneCurculionidaeGeneticsEcology

Abstract

fetched live from OpenAlex

A new species in the Ophiostoma piceae complex was isolated from bark beetles and beetle galleries infesting Japanese larch in Japan, and was described as Ophiostoma sugadairense. Phylogenetic analyses of the internal transcribed spacer of the nuclear ribosomal RNA genes region, partial β-tubulin, and elongation factor-1α genes revealed that O. sugadairense was clearly separated from other species of the O. piceae complex. The sexual morph of O. sugadairense morphologically resembled that of O. breviusculum, but the asexual morph was clearly distinguishable based on morphological characteristics of the synnemata, such as their color and shape. Mating compatibility tests indicated that there is some degree of reproductive isolation between O. sugadairense and O. piceae, O. breviusculum, and O. subalpinum.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.034
GPT teacher head0.254
Teacher spread0.220 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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