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Record W7028018070

Dolor postoperatorio en mujeres sometidas a cesárea

2017· article· es· W7028018070 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDigitum: Institutional Repository of the University of Murcia (University of Murcia) · 2017
Typearticle
Languagees
FieldArts and Humanities
TopicTechnology, Environment, Urban Planning
Canadian institutionsnot available
Fundersnot available
KeywordsPostoperative painIncidence (geometry)Medium term
DOInot available

Abstract

fetched live from OpenAlex

Objetivo: Estimar la incidencia, intensidad y calidad del dolor postoperatorio en mujeres sometidas a
\ncesárea.
\nMétodo: Estudio de corte transversal. Fueron entrevistadas 1062 mujeres sometidas a cesárea en el
\nperiodo pre y post cirugía inmediatos. La intensidad del dolor y la calidad fueron evaluadas por la
\nEscala Numérica del Dolor (0-10) y el Test de Dolor de McGill. Las variables se analizaron utilizando
\nmedidas descriptivas y la incidencia de dolor postoperatorio calculado con un Intervalo de Confianza
\ndel 95%.
\nResultados: La incidencia de dolor fue del 92,7% (IC 95%: 90,9 - 94,2) y las puntuaciones de
\nintensidad media en el momento de peor dolor, igual a 6,6 (dp=2,2) . Los descriptores más frecuentes
\nescogidos fueron "dolorida" (91,6%), "dolorida a la palpación" (70,0%) y "palpitante" (56,1%).
\nConclusiones: El dolor postoperatorio de alta intensidad es una realidad en este grupo, señalando la
\nimportancia de la evaluación del dolor para la ejecución de las acciones curativas y preventivas para
\nreducir las pérdidas en la recuperación de las mujeres

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.635
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0050.009
Scholarly communication0.0000.001
Open science0.0030.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.016
GPT teacher head0.183
Teacher spread0.167 · 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