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Record W7132693548

St. John's wort (Hypericum perforatum L.)

2020· dissertation· hr· W7132693548 on OpenAlexaboutno aff
Marina Knezović

Bibliographic record

VenueRepository of Faculty of Science · 2020
Typedissertation
Languagehr
FieldAgricultural and Biological Sciences
TopicNatural Compound Pharmacology Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHypericum perforatumUltraviolet radiationHyperforinContext (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

Gospina trava (Hypericum perforatum L.) je višegodišnja zeljasta biljka iz porodice Clusiaceae. Podrijetlom je iz Europe i Azije, a danas je rasprostranjena u svim krajevima umjerene i suptropske klime. Prepoznatljiva je po dvobridnoj stabljici, svijetlim točkicama na listovima i tamnocrvenom soku koji trljanjem izlazi iz zlatnožutih cvjetova. Njezina ljekovitost poznata je još od antičkog doba pa se u narodnoj medicini ova biljna vrsta koristi za liječenje različitih bolesti. Sadrži bioaktivne tvari kao što su hipericin, hiperforin i flavonidi. Poznato je antibakterijsko, protuvirusno i protugljivično djelovanje pripravaka od gospine trave, a koristi se i kao biljni antidepresiv. Najpoznatiji pripravak dobiven od gospine trave je kantarionovo ulje, iako je opisana i upotreba čaja, tinkture i melema. Obzirom da hipericin može izazvati fotosenzibilizaciju, ne preporuča se izlaganje suncu uz korištenje navedenih pripravaka. U ovom radu prikazana je sistematika, morfologija, uzgoj, kemijski sastav, ljekovitost i uporaba gospine trave.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
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 score0.399
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
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 head0.031
GPT teacher head0.300
Teacher spread0.269 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2020
Admission routes1
Has abstractyes

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