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Record W2625188144 · doi:10.32997/rcb-2011-3404

evaluación gammagrafica de glándulas salivales en síndrome de sjögren

2021· article· es· W2625188144 on OpenAlexaff
Aiken Felipe Betancourt Piñeres, Rosa Milanés Pérez, Igor Iván Bonnet Palencia, Lacides Padilla Tovar, Álvaro Moreno Grau, Erick Álvarez Romero, José Thomas Muñoz Méndez

Bibliographic record

VenueRevista Ciencias Biomédicas · 2021
Typearticle
Languagees
FieldMedicine
TopicSalivary Gland Disorders and Functions
Canadian institutionsCytodiagnostics (Canada)
Fundersnot available
KeywordsHumanitiesMedicinePhilosophyDermatology

Abstract

fetched live from OpenAlex

El Síndrome de Sjögren es una enfermedad sistémica autoinmune que afecta principalmente las glándulas exocrinas del organismo, como las salivales y las lacrimales provocando una disminución de sus secreciones, por lo que también se denomina síndrome seco. Se presenta caso clínico de una paciente de sexo femenino la cual cumple todos los criterios clasificatorios del Consenso Europeo Americano 2002 para el Síndrome de Sjogren. Rev.cienc.biomed. 2011; 2(1): 130-134

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.387
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.324
Teacher spread0.301 · 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 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
Published2021
Admission routes1
Has abstractyes

Explore more

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