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Record W2140186844 · doi:10.1093/femsre/fuv027

<i>Pantoea:</i>insights into a highly versatile and diverse genus within the Enterobacteriaceae

2015· review· en· W2140186844 on OpenAlexaff
Alyssa M. Walterson, John Stavrinides

Bibliographic record

VenueFEMS Microbiology Reviews · 2015
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Pathogenic Bacteria Studies
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsPantoeaBiologyPantoea agglomeransHuman pathogenPhyllosphereSerratiaNitrogen fixationEcosystemEcologyBacteriaPseudomonasGenetics

Abstract

fetched live from OpenAlex

The bacterial genus Pantoea comprises many versatile species that have been isolated from a multitude of environments. Pantoea was delineated as a genus approximately 25 years ago, but since then, approximately 20 species have been identified having a diversity of characteristics. Isolates from water and soil have been harnessed for industrial purposes including bioremediation, and the degradation of herbicides and other toxic products. Other isolates possess nitrogen fixation and plant growth-promoting capabilities, which are currently being explored for agricultural applications. Some isolates are antibiotic producers, and have been developed into biocontrol agents for the management of plant diseases. Pantoea is also known to form host associations with a variety of hosts, including plants, insects and humans. Although often thought of as a plant pathogen, recent evidence suggests that Pantoea is being frequently isolated from the nosocomial environment, with considerable debate as to its role in human disease. This review will explore this highly versatile group and its capabilities, its known associations, and the underlying genetic and genomic determinants that drive its diversity and adaptability.

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)0.001
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: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.066
GPT teacher head0.268
Teacher spread0.201 · 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
GenreReview

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

Citations587
Published2015
Admission routes1
Has abstractyes

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