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Record W2037486558 · doi:10.1186/1546-0096-12-s1-p111

SHARE – workpackage 5: evidence based recommendations for diagnosis and treatment of the antiphospholipid syndrome

2014· article· en· W2037486558 on OpenAlexaff
Noortje Groot, Nienke de Graeff, Tadej Avčin, Brigitte Bader‐Meunier, Paul Brogan, Pavla Doležalová, Brian M. Feldman, Isabelle Koné‐Paut, Pekka Lahdenne, Alberto Martini, Liza McCann, Seza Özen, Clarissa Pilkington, Angelo Ravelli, Annet van Royen, Sebastiaan J. Vastert, Nico Wulffraat, Sylvia Kamphuis, Michael W. Beresford

Bibliographic record

VenuePediatric Rheumatology · 2014
Typearticle
Languageen
FieldMedicine
TopicAutoimmune and Inflammatory Disorders Research
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineAntiphospholipid syndromeRheumatologyPediatricsIntensive care medicineInternal medicineFamily medicinePhysical therapyThrombosis

Abstract

fetched live from OpenAlex

Antiphospholipid syndrome (APS), either primary or secondary to other paediatric rheumatic diseases, is rare in children, but it can lead to significant morbidity. Evidence-based guidelines are sparse and management is mostly based on physician’s experience. Consequently, treatment regimens differ throughout Europe. In 2012, a European initiative called SHARE (Single Hub and Access point for paediatric Rheumatology in Europe) was launched to optimize and disseminate diagnostic and management regimens in Europe for children and young adults with rheumatic diseases such as APS.

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)0.021
metaresearch head score (Gemma)0.116
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.072
Threshold uncertainty score0.240

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0210.116
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0100.006
Science and technology studies0.0010.001
Scholarly communication0.0050.004
Open science0.0060.004
Research integrity0.0120.005
Insufficient payload (model declined to judge)0.0720.037

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 head0.052
GPT teacher head0.318
Teacher spread0.266 · 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 designNot applicable
Domainnot available
GenreOther

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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