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Desenvolvimento e avaliação de nanoemulsões à base de óleo de babaçu (Orbignya oleifera) e extratos vegetais (Areca catechu, Glycyrrhiza glabra e Portulaca oleracea) para uso pós-sol

2011· dissertation· pt· W1593922566 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

Venuenot available
Typedissertation
Languagept
FieldAgricultural and Biological Sciences
TopicPhytochemistry Medicinal Plant Applications
Canadian institutionsCanadian Association of Nurses in Oncology
Fundersnot available
KeywordsCatechuTraditional medicinePortulacaPolygonumArecaGlycyrrhizaChemistryPhysicsMedicine

Abstract

fetched live from OpenAlex

A nanotecnologia aplicada em praticamente todos os setores da cincia, incluindo a rea cosmtica. Nanoemulses apresentam-se mais estveis do que macroemulses, possuem boa espalhabilidade e facilitam a penetrao de ativos na pele. O leo de babau (Orbignya oleifera) utilizado no tratamento de vrias afeces da pele, devido s propriedades anti-inflamatria, cicatrizante e antisptica. O extrato de sementes de Areca catechu inibe a produo de elastase e colagenase, enzimas responsveis pela flacidez e perda de elasticidade da pele no envelhecimento. Alm disso, possui ao antioxidante, anti-hialuronidase

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
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 score0.050
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.046
GPT teacher head0.280
Teacher spread0.234 · 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