MétaCan
Menu
Back to cohort
Record W2041185385 · doi:10.1016/j.anpedi.2014.10.016

La Neonatología, primera Área de Capacitación Específica de la Pediatría en España

2014· editorial· es· W2041185385 on OpenAlexaboutno aff
J. Figueras Aloy

Bibliographic record

VenueAnales de Pediatría · 2014
Typeeditorial
Languagees
FieldHealth Professions
TopicChild and Adolescent Health
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceGeographyArt

Abstract

fetched live from OpenAlex

El pasado mes de agosto del 2014, el Boletin Oficial del Estado publico el Real Decreto 639/2014, de 25 de julio, por el que se regulan la troncalidad, la reespecializacion troncal y las areas de capacitacion especifica (denominadas «subespecialidades» en Europa). La Pediatria mantiene su formacion independiente de otros troncos. Respecto a las Areas de Capacitacion Especifica (ACE), se ha creado la de Neonatologia con acceso unico desde la especialidad de Pediatria1. Las ACE tienen un interes preferentemente asistencial pero requieren de una vertiente docente imprescindible para la correcta formacion del subespecialista, en nuestro caso el neonatologo. La ensenanza y la formacion en neonatologia estan bien organizadas en Australia, Estados Unidos y Canada. En Europa, el European Board of Pediatrics reconocio en 1997 al Working Group in Neonatology (WGN) de la European Society for Pediatric Research (ESPR). En agosto del 2001, el WGN-ESPR se convirtio en la European Society for Neonatology (ESN), reconocida por la Confederation of European Subspecialities in Pediatrics (CESP) como la organizacion representativa de todos los neonatologos europeos2. La ESN ha elaborado un programa de formacion para los neonatologos en Europa con el objetivo de armonizar los programas de formacion entre los distintos paises

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)0.008
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: none
Teacher disagreement score0.312
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.006
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0070.012
Insufficient payload (model declined to judge)0.0010.001

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 head0.362
Teacher spread0.353 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations4
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueAnales de PediatríaSame topicChild and Adolescent HealthFrench-language works237,207