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Record W1546327281 · doi:10.38150/sajeb.1(5).p3-11

Immune-modulation and Anti-infection Properties of the Phytomedicine Echinacea

2011· article· en· W1546327281 on OpenAlexaff
J. B. Hudson, Selvarani Vimalanathan, Manmohan Sharma

Bibliographic record

VenueSouth Asian Journal of Experimental Biology · 2011
Typearticle
Languageen
FieldMedicine
TopicHerbal Medicine Research Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsEchinacea (animal)Immune systemBiologyChemokinePhytomedicineCytokineCytotoxic T cellImmunologyInterleukin 8MicrobiologyIn vitroBiochemistry

Abstract

fetched live from OpenAlex

Extracts of Echinacea species were used traditionally in North America forthe treatment of infections and wounds, and preparations derived from Echinaceapurpurea â€Âcytotoxic concentrations.The immune modulation is manifest in two ways: as a stimulation of phagocytosisand other functions in various types of immune cells, and as an antiinflammatoryagent in epithelial and other cells infected with proinflammatoryviruses and microbes. Studies of gene expression in infectedand uninfected cells have revealed that Echinacea extracts can bring aboutnumerous changes in expression of cytokine, chemokine, and many otherimmune â€Ârelated genes. Thus Echinacea causes many alterations in signalingpathways involved in control of various immunological functions, resulting incontrol of the invading pathogen and amelioration of associated symptoms.

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 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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.212

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.047
GPT teacher head0.318
Teacher spread0.271 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2011
Admission routes1
Has abstractyes

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