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Record W7008463859

Características del dolor en pacientes post operados de cirugía abdominal, en el Hospital San José de Chincha, año 2020.

2021· dissertation· es· W7008463859 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

Venuerenati · 2021
Typedissertation
Languagees
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsDuration (music)PopulationDiseaseIncidence (geometry)
DOInot available

Abstract

fetched live from OpenAlex

Materiales y métodos: La investigación tendrá un enfoque cuantitativo y utilizará la observación, como técnica; el tipo de investigación es transaccional y el diseño descriptivo, para así explicar detalladamente el comportamiento de la variable en su estado espontaneo. Al utilizar el diseño descriptivo, se prevé que, sus limitaciones evidentes, son que no expresa relacionas de causa-efecto, ni genera nueva teoría. La unidad de análisis son los pacientes post operados de cirugía abdominal, en el hospital San José de Chincha. La población que se determinó en un periodo de atención de seis meses alcanza un total de 600 pacientes, los cuales, a través de un muestreo probabilístico, se determinó como muestra de 124 pacientes, sometidos a los criterios de exclusión e inclusión reglamentarios y al consentimiento informado, se utilizará el instrumento con escala de dolor de MCGILL, con el que se medirán las variables e indicadores

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.056
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
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 head0.009
GPT teacher head0.239
Teacher spread0.230 · 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