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Record W4392378453 · doi:10.34119/bjhrv7n2-003

Uso da espinheira santa (Maytenus ilicifolia) no tratamento de pacientes portadores de transtornos gastrointestinais

2024· article· pt· W4392378453 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

VenueBrazilian Journal of Health Review · 2024
Typearticle
Languagept
FieldMedicine
TopicNatural Compounds in Disease Treatment
Canadian institutionsIntertek (Canada)
Fundersnot available
KeywordsPsychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

A Maytenus ilicifolia, conhecida como espinheira-santa, no tratamento de transtornos gastrointestinais, com foco na gastrite. Essa planta é reconhecida por suas propriedades medicinais, incluindo ação antiúlcera, anti-inflamatória e antioxidante devido a compostos como flavonóides e taninos. A pesquisa examina a relevância cultural e científica da espinheira-santa, destacando sua eficácia no tratamento da gastrite e outros distúrbios gastrointestinais. A investigação foi realizada utilizando artigos científicos provenientes de fontes de grande relevância no cenário acadêmico, como BVS, MEDLINE e LILACS, abrangendo um intervalo temporal compreendido entre 2013 e 2023. Também aborda a segurança e as precauções no uso da planta, como interações medicamentosas e contra indicações. Conclui-se que a espinheira-santa é uma opção eficaz, embora seu uso exija cautela e supervisão médica devido a possíveis riscos e variações individuais. Portanto, destaca-se a importância de farmacêuticos e profissionais de saúde conhecerem essa erva fitoterápica para auxiliar na qualidade de vida dos pacientes, embora se deva estar ciente de que a pesquisa sobre seu uso ainda está em andamento.

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)0.005
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.408
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.043
GPT teacher head0.385
Teacher spread0.342 · 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