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Record W3211537974 · doi:10.21203/rs.3.rs-1070786/v1

Distribution of the Genus Ceratocystiopsis (Ascomycota, Ophiostomatales) on Conifers in Norway, With Description of Four New Species

2021· preprint· en· W3211537974 on OpenAlexaff
Robert Jankowiak, Halvor Solheim, Piotr Bilański, Jigeesha Mukhopadhyay, Georg Hausner

Bibliographic record

VenueResearch Square · 2021
Typepreprint
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsUniversity of Manitoba
FundersNorsk institutt for BioøkonomiNorwegian Biodiversity Information Centre
KeywordsBiologyTaxonBark beetleAscomycotaTaxonomy (biology)BotanyBark (sound)Ecology

Abstract

fetched live from OpenAlex

Abstract The genus Ceartocystiopsis includes ascomycetes fungi belonging to the Ophiostomatales that are not well recognized in the world. Described species so far have been found mainly in association with bark beetles in the Northern Hemisphere. The aims of this study were therefore to survey of distribution of species of Ceratocystiopsis associated with bark beetles infesting Picea abies and Pinus sylvestris in Norway. Adults for 22 different bark beetle species were collected from 13 stands in Norway. During this study, we recovered 126 isolates showing affinities to Ceratocystiopsis representing six species, including two described and four undescribed taxa. The four undescribed taxa collected during this work were characterised based on their morphological characteristics and multi-gene phylogenies. Herein, we describe these new species as Ceratocystiopsis chalcographii sp. nov., Ceratocystiopsis debeeria sp. nov., Ceratocystiopsis norroenii sp. nov. and Ceratocystiopsis troendelagii sp. nov. Ceratocystiopsis norroenii and C. rollhanseniana were the most frequently isolated species although the latter species had a much wider vector range. This study expands our knowledge about the taxonomy and species diversity of Ceratocystiopsis and beetle-fungus relationships.

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 score0.016
Threshold uncertainty score0.033

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 studies0.0000.000
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 head0.048
GPT teacher head0.289
Teacher spread0.241 · 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

Citations1
Published2021
Admission routes1
Has abstractyes

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