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Record W2594196549 · doi:10.20398/jscr.v7i2.11438

Cicatrização das feridas cirúrgicas

2017· article· pt· W2594196549 on OpenAlexaff
Aldo Cunha Medeiros, Antônio Medeiros Dantas Filho

Bibliographic record

VenueJOURNAL OF SURGICAL AND CLINICAL RESEARCH · 2017
Typearticle
Languagept
FieldMedicine
TopicReconstructive Surgery and Microvascular Techniques
Canadian institutionsAdidas (Canada)
Fundersnot available
KeywordsHumanitiesMedicineArt

Abstract

fetched live from OpenAlex

Objetivo: A cicatrização de feridas evoluiu de uma ciência de observação clínica para um estudo de biologia molecular e fisiologia celular. O objetivo deste artigo é revisar a literatura médica para fornecer uma base para a compreensão da ciência atual da cicatrização de feridas. Métodos: Foi feita a revisão da literatura médica usando banco de dados Pubmed sobre a cicatrização. As fases de cicatrização das feridas são: fase inflamatória, a fase proliferativa e a fase de maturação. A reparação é determinada pelas características da ferida na apresentação inicial, e é vital selecionar o método apropriado para tratar a ferida com base na sua capacidade de evitar hipóxia, infecção, edema excessivo e corpos estranhos. Conclusão: Trata-se de uma cadeia altamente complexa de eventos, e o arsenal usado pelos cirurgiões continua a se expandir com métodos cada vez mais eficazes.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0010.002
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.267
GPT teacher head0.568
Teacher spread0.300 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations33
Published2017
Admission routes1
Has abstractyes

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