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Record W4416443291 · doi:10.5376/be.2025.15.0019

Insights into Cucumber Immune Responses Against Biotic Stresses

2025· article· W4416443291 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.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueBiological Evidence · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicPlant-Microbe Interactions and Immunity
Canadian institutionsnot available
Fundersnot available
KeywordsJasmonic acidTranscriptomeImmune systemTranscription factorMediatorGeneBacteriaReactive oxygen speciesMechanism (biology)Signal transduction

Abstract

fetched live from OpenAlex

This study introduces the immune response mechanism of cucumbers in response to biological stresses such as fungi, bacteria and viruses. Research has found that multiple transcription factors (such as WRKY, CRK), signaling pathways (such as jasmonic acid, ethylene, SA), antioxidant systems, and metabolites (such as glutathione, cucurbitacin) play key roles in the disease resistance process of cucumbers. Meanwhile, exogenous stimulants such as beneficial microorganisms and nano-selenium can enhance the resistance of cucumbers by activating defense genes and regulating reactive oxygen species metabolism. The application of molecular omics and transcriptomics has also promoted the discovery and functional research of disease-resistant genes. This study mainly sorts out the core mechanisms related to cucumber immunity, hoping to provide a theoretical basis for disease-resistant breeding and green prevention and control.

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)0.001
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.845
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.059
GPT teacher head0.301
Teacher spread0.243 · 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