MétaCan
Menu
Back to cohort

Secondary Metabolites Produced by Plant Growth-Promoting Bacterial Endophytes

2022· review· en· W4304632008 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueMicroorganisms · 2022
Typereview
Languageen
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsBiologyBacteriaMicroorganismPlant growthAdaptation (eye)Secondary metabolismSecondary metaboliteBiotechnologyBotanyBiochemistryBiosynthesisGene

Abstract

fetched live from OpenAlex

There is an increasing interest in the use of beneficial microorganisms as alternatives to chemically synthesized or plant-derived molecules to produce therapeutic agents. Bacterial endophytes are plant-associated microorganisms that can colonize different parts of living plants without causing any diseases. Diverse endophytic bacteria possess the ability to synthesize a wide range of secondary metabolites with unique chemical structures that have been exploited for their anti-microbial, antiviral, anti-cancer, and anti-inflammatory properties. Additionally, production of these bioactive compounds can also benefit the host plant as they may play a significant role in a plant's interaction with the environment for adaptation and defense. As a result of their significant impact as curative compounds or as precursors to produce new drugs, the biotechnological possibilities of secondary metabolites derived from endophytic bacteria are immense.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.929
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0160.000

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 head0.027
GPT teacher head0.229
Teacher spread0.202 · 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