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Record W3147291411 · doi:10.2139/ssrn.3624247

Dabigatran Etexilate for the Treatment of Acute Venous Thromboembolism in Children: Results of an Open-Label, Phase 2b/3, Randomised Clinical Trial

2020· article· en· W3147291411 on OpenAlexaff
Leonardo R. Brandão, Matteo Luciani, Lisa Bomgaars, Elizabeth Chalmers, Lesley Mitchell, Ildar Nurmeev, Anjali Sharathkumar, Pavel Svirin, Kirill Gorbatikov, Igor Tartakovsky, Monika Simetzberger, Fenglei Huang, Zhichao Sun, Jörg Kreuzer, Savion Gropper, Paul Reilly, Martina Brueckmann, Manuela Albisetti, DIVERSITY Trial Investigators

Bibliographic record

VenueSSRN Electronic Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsUniversity of AlbertaSickKids FoundationHospital for Sick ChildrenUniversity of TorontoChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsDabigatranMedicineVenous thromboembolismOpen labelClinical trialIntensive care medicineInternal medicineWarfarinThrombosisAtrial fibrillation

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.003
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 head0.088
GPT teacher head0.407
Teacher spread0.319 · 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 designRandomized trial
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

Citations8
Published2020
Admission routes1
Has abstractno

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Same venueSSRN Electronic JournalSame topicBlood Coagulation and Thrombosis MechanismsFrench-language works237,207