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The World Federation of Hemophilia and research

2012· article· en· W2103714757 on OpenAlexafffund
David Lillicrap

Bibliographic record

VenueHaemophilia · 2012
Typearticle
Languageen
FieldMedicine
TopicHemophilia Treatment and Research
Canadian institutionsQueen's University
FundersIC Design Education CenterCSL BehringCanadian Hemophilia SocietySt. Jude Children's Research HospitalBiogen
KeywordsMentorshipMedicineHaemophiliaCompetition (biology)Russian federationFamily medicineMedical educationPediatricsRegional science

Abstract

fetched live from OpenAlex

Until now, the World Federation of Haemophilia (WFH) has focused its energies on the development of initiatives to enhance the clinical care of persons with bleeding disorders around the world. While this objective will still represent the main goal of this organization, there is interest in launching a new program that focuses on international research into the inherited bleeding disorders. This project will begin with the development of a clinical outcomes research competition and will incorporate a complementary research mentorship program.

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)0.013
metaresearch head score (Gemma)0.026
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: Editorial · Consensus signal: none
Teacher disagreement score0.044
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.026
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0020.002
Scholarly communication0.0070.002
Open science0.0020.003
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0440.032

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 head0.092
GPT teacher head0.404
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 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
GenreEditorial

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

Citations3
Published2012
Admission routes2
Has abstractyes

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