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Avaliação de treinamento cirúrgico na graduação de medicina

2013· article· pt· W2055239521 on OpenAlexaff
Kátia Sheylla Malta Purim, Laila Djensa Souza dos Santos, Gabriel Treml Murara, Eliane Mara Cesário Pereira Maluf, Júlio Wilson Fernandes, James Skinovsky

Bibliographic record

VenueRevista do Colégio Brasileiro de Cirurgiões · 2013
Typearticle
Languagept
FieldMedicine
TopicSurgical Simulation and Training
Canadian institutionsCanadian Sleep & Circadian Network
Fundersnot available
KeywordsMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To evaluate the effectiveness of training in surgical techniques in pig feet during medical school. METHODS: We conducted a cross-sectional study with 87 volunteer medical students from different graduation semesters, who attended a basic workshop for incisions, sutures, biopsies, flaps, grafts, under direct supervision. Pre and post-training self-administered questionnaires were used. RESULTS: The teaching of sutures, biopsies and ear correction was effective for learning of the minimal skills required for the proposed techniques (p <0.005), as well as excisions and flaps, except grafting (p> 0 97). CONCLUSION: The methodological approach and monitoring of techniques' reproduction were adequate. The training offered complemented cutaneous surgical skills of undergraduate medicine students.

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 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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.163
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0160.002

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 head0.036
GPT teacher head0.312
Teacher spread0.276 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2013
Admission routes1
Has abstractyes

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