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Record W2572662326 · doi:10.1111/ejh.12828

The second Team Haemophilia Education Meeting, 2016, Frankfurt, Germany

2017· article· en· W2572662326 on OpenAlexaff
Erik Berntorp, Yesim Dargaud, Daniel P. Hart, Sébastien Lobet, Maria Elisa Mancuso, Roseline d’Oiron, David J. Perry, Debra Pollard, Marijke van den Berg, Jan Blatný, Hérvè Chambost, Andréa S. Doria, Pål André Holme, Radosław Kaczmarek, LG Mantovani, Paul McLaughlin, Lochana Nanayakkara, Pia Petrini, Thomas Sannié, Edward Laane, Raquel Maia, Athina Dettoraki, Anna Farrell, Susan Halimeh, Sayma Raza, Stephanie Taylor

Bibliographic record

VenueEuropean Journal Of Haematology · 2017
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
FundersNovo Nordisk PharmaNovartis PharmaGrifolsNovo NordiskBayer HealthCareSwedish Orphan BiovitrumBaxaltaCSL BehringWyethBayerBiogenBaxter InternationalPfizerWomen's Fund of Hawaii
KeywordsHaemophiliaMultidisciplinary teamMultidisciplinary approachMedicineHealth careHaemophilia BHaemophilia AFamily medicineNursingPediatricsPolitical science

Abstract

fetched live from OpenAlex

The first Team Haemophilia Education (THE) Meeting was held on 7-8 May 2015 in Amsterdam, The Netherlands. It aimed to promote the optimal care of patients with haemophilia through education of the multidisciplinary treatment team. This was achieved by reviewing the latest developments in haemophilia management, considering how these can be implemented in the clinic to improve patient care and providing a platform for networking and debate for all haemophilia treatment team members. The second THE Meeting was held on 19-20 May in Frankfurt, Germany, and participants included doctors, nurses, physiotherapists, patient representatives and data management staff from 20 different countries. Topics covered the role of the multidisciplinary team in delivering the best haemophilia care, challenges in the management of haemophilia across Europe, available clotting factor treatments, future treatments and the use of genetics in advising carriers of haemophilia. This report is a summary of the key developments in haemophilia care presented by various investigators and healthcare professionals at THE Meeting 2016.

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)0.001
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.151
Threshold uncertainty score0.550

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.023
GPT teacher head0.321
Teacher spread0.298 · 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 designNot applicable
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

Citations2
Published2017
Admission routes1
Has abstractyes

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