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Record W4401169016 · doi:10.55905/revconv.17n.7-448

Explorando o uso da curcumina na terapia fotodinâmica antimicrobiana: uma revisão científica e patentária

2024· article· pt· W4401169016 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

VenueContribuciones a las Ciencias Sociales · 2024
Typearticle
Languagept
FieldAgricultural and Biological Sciences
TopicPhytochemistry Medicinal Plant Applications
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

A Curcumina (CUR) surge como uma alternativa promissora para uso na terapia fotodinâmica antimicrobiana (TFDa) na inativação de microrganismos. O presente trabalho tem como objetivo realizar uma análise prospectiva da literatura e pesquisa patentária para detectar as perspectivas e as tendências do uso da CUR na TFDa. A busca foi realizada na base de dados PubMed nos campos “título” e “resumo” no período de 2014 a 2023. A pesquisa patentária foi realizada na plataforma de dados Questel Orbit® utilizando as palavras-chaves cosmetic, probiotic e skin. Dos trabalhos selecionados 45% são da área Odontológica e 86% foram realizados com metodologias in vitro. Na análise patentária a empresa Del Mar Pharmaceuticals dos Estados Unidos surge como principal depositante no mundo. A pesquisa permitiu concluir que os artigos científicos e as patentes se concentraram principalmente na área odontológica, alimentícia e médica, demonstrando o elevado interesse e possibilidade de atuar como agente microbicida neste setor.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.078
GPT teacher head0.292
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