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Record W1997015381 · doi:10.4021/jnr.v3i6.250

Tracheostomy Conducted in a Freeman-Sheldon Syndrome Case

2014· article· en· W1997015381 on OpenAlexvenueno aff
Cristiane Aparecida Moran, Natalia Henrique de Almeida, Fernanda G. G. Marco, Silvana Alves Pereira

Bibliographic record

VenueJournal of Neurology Research · 2014
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineMicrostomiaRespiratory distressIntensive care medicineSwallowingPediatricsVentilation (architecture)Mechanical ventilationSurgeryAnesthesia

Abstract

fetched live from OpenAlex

The Freeman-Sheldon syndrome is an autosomal dominant disease and the main features are the changes in the face with external projection of the lips (whistling position), underdeveloped nasal cartilage, narrow nostrils, microstomia and microglossia, which explains the signs of respiratory distress and swallowing problems, promoting the indication for tracheostomy. This paper reports a case of tracheostomy in a newborn baby suffering from the Freeman-Sheldon syndrome, contributing with information that can help health professionals to improve the respiratory condition in such cases and to prevent future complications with invasive mechanical ventilation in the long -term basis, justifying the indication of tracheostomy in period similar to that carried out in children without neurologic diseases. J Neurol Res. 2013;3(6):179-180 doi: http://dx.doi.org/10.4021/jnr250w

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)0.000
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0040.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.088
GPT teacher head0.410
Teacher spread0.322 · 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 designCase report
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

Citations0
Published2014
Admission routes1
Has abstractyes

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