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Record W1999846343 · doi:10.2298/abs1203911b

Antimicrobial activity of methanol extracts of Abietinella abietina, Neckera crispa, Platyhypnidium riparoides, Cratoneuron filicinum and Campylium protensum mosses

2012· article· en· W1999846343 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

VenueArchives of Biological Sciences · 2012
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicBryophyte Studies and Records
Canadian institutionsInstitute for Biological Sciences
Fundersnot available
KeywordsAspergillus flavusTrichoderma virideAntimicrobialAspergillus nigerPenicilliumBacillus cereusAntibacterial activityPenicillium citrinumBiologyMicrobiologyChemistryBacteriaFood science

Abstract

fetched live from OpenAlex

The antibacterial and antifungal activity of methanol extracts of the genuine mosses Abietinella abietina, Neckera crispa, Platyhypnidium riparoides, Cratoneuron filicinum var. filicinum and Campylium protensum were evaluated. Antibacterial activity was tested against Gram (+) Staphylococcus aureus, Micrococcus flavus, Bacillus cereus and Gram (-) bacteria Escherichia coli and Salmonella typhimurium. Antifungal activity was tested using micromycetes Trichoderma viride, Penicillium funiculosum, Penicillium ochrochloron, Aspergillus flavus, A. niger and A. fumigatus. The methanol extracts of all moss species showed an antimicrobial effect against the tested microorganisms. Significant antibacterial effect was achieved for Cratoneuron filicinum and Neckera crispa. The most sensitive bacteria were Bacillus subtilis and Micrococcus flavus. Abietinella abietina and Neckera crispa showed an antifungal effect against micromycetes Trichoderma viride, Penicillium ochrachloron, P. funiculosum and Aspergillus flavus.

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 categoriesnone
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 score0.636
Threshold uncertainty score0.809

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 studies0.0000.002
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 head0.037
GPT teacher head0.251
Teacher spread0.214 · 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