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Record W3111617049 · doi:10.1016/s2352-3026(20)30368-9

Dabigatran etexilate for the treatment of acute venous thromboembolism in children (DIVERSITY): a randomised, controlled, open-label, phase 2b/3, non-inferiority trial

2020· article· en· W3111617049 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 A. Reilly, Martina Brueckmann, Manuela Albisetti, А. И. Сафина, Ondřej Zapletal, Tomáš Kuhn, Tomáš Votava, Judy Felgenhauer, Ali Amid, Paola Saracco, Csongor Kiss, Susan Halimeh, Madlen Reschke, Beate Wulff, Michéle David, Zbyněk Novák, И.И. Трунина, Tony Frisk, Heidi Glosli, Andreas H. Groll, O. Lvova, İlgen Şaşmaz, Darintr Sosothikul, Virginija Žilinskaitė, Erin Cockrell, V. A. Digtyar, I Hadačová, Sauli Palmu, Anjali Pawar, Joyce Maria Annichino Bizzacchi, Ümran Çalışkan, Tiraje Çelkan, Dmytro Dmytrіiev, Colleen Druzgal, Graciela Elena, Antonis Kattamis, Ramazan Kavakli, Christoph Male, Nihal Özdemir, An Van Damme, Aanen Aarli, Rogelio Alejandro Paredes Aguilera, Selin Aytaç, Jorge David Aivazoglou Carneiro, Antonio Chistolini, M.G. Mazzucconi, Fernando F. Corrales‐Medina, Françis Couturaud, Stacey E Croteau, Cameron C. Trenor, Michael Damgaard, Natalia Dixon, A.N. Galustyan, Jiří Hák, Marianne Hoffmann, Alphan Küpesiz, Veerle Labarque, Chris Van Geet, Ming‐Chih Lin, Yun‐Ching Fu, Sandra Regina Loggetto, Veerle Mondelaers, Irena Odri-Komazec, Shoshana Revel‐Vilk, Julián Sevilla, Luciano Fuzzato Silva, José Kerr Saraiva, Fernando Montes‐Tapia, Wendy Woods‐Swafford

Bibliographic record

VenueThe Lancet Haematology · 2020
Typearticle
Languageen
FieldMedicine
TopicBlood Coagulation and Thrombosis Mechanisms
Canadian institutionsUniversity of AlbertaChildren's Hospital of Eastern OntarioHospital for Sick ChildrenUniversity of Ottawa
Fundersnot available
KeywordsDabigatranVenous thromboembolismMedicineOpen labelRandomized controlled trialIntensive care medicineInternal medicineAtrial fibrillationWarfarinThrombosis

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)0.001
metaresearch head score (Gemma)0.002
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 score0.005
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.100
GPT teacher head0.368
Teacher spread0.268 · 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

Citations149
Published2020
Admission routes1
Has abstractno

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