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Record W2077725831 · doi:10.1186/1546-0096-12-s1-p241

Evidence based recommendations for genetic diagnosis of Familial Mediterranean Fever

2014· article· en· W2077725831 on OpenAlexaff
Gabriella Giancane, Nienke M. ter Haar, Nico Wulffraat, Sebastiaan J. Vastert, Karyl S. Barron, Véronique Hentgen, Tilmann Kallinich, Huri Özdoğan, Jordi Antón, Paul Brogan, Luca Cantarini, Joost Frenkel, Caroline Galeotti, Marco Gattorno, Gilles Grateau, Michaël Hofer, Isabelle Koné‐Paut, Jasmin Kuemmerle‐Deschner, Helen J. Lachmann, Anna Simon, Brian M. Feldman, Yosef Uziel, Seza Özen

Bibliographic record

VenuePediatric Rheumatology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsSickKids FoundationHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsFamilial Mediterranean feverMedicineRheumatologyInternal medicinePediatricsFamily medicineDisease

Abstract

fetched live from OpenAlex

Familial Mediterranean Fever (FMF) is a disease that starts in childhood and can lead to significant morbidity. In 2012, a European initiative called SHARE (Single Hub and Access point for pediatric Rheumatology in Europe) has been launched to optimize and disseminate diagnostic and management regimens in Europe for children and young adults with rheumatic diseases. For FMF, attention was focused on genetics.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.624
Threshold uncertainty score0.536

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.024
GPT teacher head0.268
Teacher spread0.244 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations27
Published2014
Admission routes1
Has abstractyes

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