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Record W4395072781 · doi:10.5546/aap.2023-10246

Agenesia de la vesícula biliar: una serie de casos multicéntrica y revisión de la literatura

2024· article· es· W4395072781 on OpenAlexaff
Guillermo Costagu, Alejandro Costaguta, Fernando Álvar

Bibliographic record

VenueArchivos Argentinos de Pediatria · 2024
Typearticle
Languagees
FieldMedicine
TopicPediatric Hepatobiliary Diseases and Treatments
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyMedicineGynecology

Abstract

fetched live from OpenAlex

Atribucin -Permite copiar, distribuir y comunicar pblicamente la obra.A cambio se debe reconocer y citar al autor original.No Comercial -Esta obra no puede ser utilizada con finalidades comerciales, a menos que se obtenga el permiso.Sin Obra Derivada -Si remezcla, transforma o crea a partir del material, no puede difundir el material modificado. RESUMENLa agenesia de la vescula biliar es una entidad rara en pediatra con una evolucin normalmente silente, y representa un desafo diagnstico para el mdico que enfrenta estos casos por primera vez.Algunos pacientes pueden, sin embargo, presentar sntomas que simulan otras patologas del rbol biliar, y muchos de ellos son operados ante esta sospecha.Sin embargo, el diagnstico oportuno de esta entidad permite llevar a cabo un tratamiento mdico que muchas veces es suficiente para resolver el problema del paciente.Si bien es una condicin benigna, los pacientes suelen presentar otras malformaciones asociadas que son ms graves en naturaleza y que deben investigarse activamente para poder derivarlos a los especialistas de manera oportuna.Presentamos nuestra experiencia en el diagnstico y tratamiento de estos pacientes, as como una breve revisin de la literatura.Esperamos que sea de utilidad para el mdico que encuentre un caso similar.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.318
Teacher spread0.312 · 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 teacher head, not a consensus.

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

Citations0
Published2024
Admission routes1
Has abstractyes

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