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Record W4313204644 · doi:10.5281/zenodo.7489194

Ekspresowa Analiza Zagrożenia Agrofagiem: Cochliobolus carbonum

2018· report· en· W4313204644 on OpenAlexaboutno aff
Jakub Danielewicz, Katarzyna Sadowska, Katarzyna Pieczul, Magdalena Gawlak, Agata Olejniczak, Tomasz Kałuski

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2018
Typereport
Languageen
FieldAgricultural and Biological Sciences
TopicBotany and Plant Ecology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysics

Abstract

fetched live from OpenAlex

Cochliobolus carbonum is one of more than 40 species of bagworms belonging to the genus Cochliobolus (anamorph: Bipolaris/Curvularia). The pathogen is recorded worldwide (Australia, Brazil, Cambodia, Canada, China, Congo, Denmark, Egypt, India, Kenya, New Zealand, Nigeria, Solomon Islands and the United States). C. carbonum causes leaf spot and cob disease of maize, while the imperfect stage causes Helminthosporium helminthosporiosis of maize leaves); however, the losses caused by disease outbreaks are not economic. Cochliobolus carbonum can infect all organs of the corn plant, including roots, stalks, cobs and panicles. Symptoms of infestation vary depending on the infested organ. There are no literature reports of detection of the pathogen in the PRA area, however, the occurrence of this agrophage is often confused with other species of the genus Helminthosporium. The biology of the species coincides with the climatic conditions prevailing in the PRA area. The presence of other species of the genus Cochliobolus allows us to assume that the agrophage will easily establish itself if it enters Poland.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.069
GPT teacher head0.252
Teacher spread0.183 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2018
Admission routes1
Has abstractyes

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