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

Cicatrização das feridas cirúrgicas

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

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

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.

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)0.025
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.627
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0250.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0010.004
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.005
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 head0.267
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