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Record W4386454494 · doi:10.2478/arsm-2022-0027

Is it Possible to Increase the Quality of Sexual Life After Spontaneous Birth?

2022· article· en· W4386454494 on OpenAlexaboutno aff
Dragoș Brezeanu, Ana-Maria Brezeanu, Vlad Tica

Bibliographic record

VenueArs medica tomitana · 2022
Typearticle
Languageen
FieldMedicine
TopicPelvic floor disorders treatments
Canadian institutionsnot available
Fundersnot available
KeywordsEpisiotomyMedicineVulvodyniaObstetricsSexual lifePregnancyVisual analogue scaleGynecologySurgeryPelvic pain

Abstract

fetched live from OpenAlex

Abstract The decrease in number of vaginal births may also be due to the discomfort caused by the episiotomy wounds. Episiotomy wounds are characterized by discomfort, stinging, vulvodynia. The decrease in immunity, the increase in vaginal pH during pregnancy and pregnancy, can cause the appearance of bacterial vulvovaginitis and can lead to poor healing of the episiotomy wound. The patients will be initially evaluated by means of a questionnaire at 24 hours postpartum and then reevaluated at 7 days, when the suture material is removed, by completing the same questionnaire. Bacteriological vaginal secretion examination will also be collected both at 24 hours postpartum and at 40 days. Visual scales will also be used (REEDA scale, VANCOUVER), at 7 days and at 40 days. Thus, starting from the question, is postpartum sexual life influenced by episiotomy wounds, we will try to find an answer to this question by applying a questionnaire prepared by us.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.000

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 head0.028
GPT teacher head0.310
Teacher spread0.281 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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