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Record W3105405693 · doi:10.1111/jth.15138

Development and implementation of common data elements for venous thromboembolism research: on behalf of SSC Subcommittee on official Communication from the SSC of the ISTH

2020· article· en· W3105405693 on OpenAlexafffund
Grégoire Le Gal, Marc Carrier, Lana A. Castellucci, Adam Cuker, John‐Bjarne Hansen, Frederikus A. Klok, Nicole Langlois, Jerrold H. Levy, Saskia Middeldorp, Marc Righini, Sam Walters, Lisa Bauman Kreuziger, Sam Schulman, Leslie Skeith, Neil A. Zakai, Nicoletta Riva, Jonathan Douxfils, Susan R. Kahn, Arina J. ten Cate‐Hoek, Stavros Konstantinides, Waleed Ghanima, Iréne Lang, J.‐P. Galanaud, Thomas Moumneh, Esteban Gándara, Paolo Prandoni, Char Witmer, Alejandro Lazo‐Langner, Helia Robert‐Ebadi, Fionnuala Ní Áinle, Cynthia Wu, Tzu‐Fei Wang, Jeffrey I. Zwicker, Mandy N. Lauw, Cihan Ay, Gabriela Cesarman Maus, Pantep Angchaisuksiri, Marie E. Steiner, Raquel R. Bartz, Jean M. Connors, Marc Samama, Alex C. Spyropoulos, David Faraoni, Toshiaki Iba, Clive Kearon, Suzanne Canniegeter, Pierre‐Emmanuel Morange, Sigrid K. Brækkan, Vânia M. Morelli, Fernanda Andrade Orsi

Bibliographic record

VenueJournal of Thrombosis and Haemostasis · 2020
Typearticle
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersNational Cancer InstituteUniversitätsmedizin der Johannes Gutenberg-Universität MainzHôpitaux Universitaires de GenèveHospital for Sick ChildrenUniversität WienInternational Society on Thrombosis and HaemostasisMahidol UniversityUniversiteit MaastrichtUniversité de NamurLeids Universitair Medisch CentrumUniversiteit LeidenMcMaster UniversityAmsterdam University Medical CentersMedizinische Universität WienUniversity of AlbertaChildren's Hospital of PhiladelphiaJewish General HospitalUniversitetet i TromsøNorthwell HealthHarvard Medical SchoolOhio State UniversityUniversity of PennsylvaniaUniversity of MinnesotaUniversity of TorontoBrigham and Women's Hospital
KeywordsMedicineChecklistStakeholderData qualityWorking groupData collectionData managementVenous thromboembolismData scienceThrombosisComputer scienceData miningOperations managementSurgeryEngineeringPsychologyPublic relations

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)0.337
metaresearch head score (Gemma)0.352
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesMetaresearch
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.663
Threshold uncertainty score0.817

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.3370.352
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0020.003
Bibliometrics0.0100.006
Science and technology studies0.0040.004
Scholarly communication0.0130.012
Open science0.0070.016
Research integrity0.0050.011
Insufficient payload (model declined to judge)0.0140.011

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 head0.328
GPT teacher head0.450
Teacher spread0.122 · 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.

Study designNot applicable
DomainMethods
GenreMethods

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

Citations57
Published2020
Admission routes2
Has abstractno

Explore more

Same venueJournal of Thrombosis and HaemostasisSame topicVenous Thromboembolism Diagnosis and ManagementFrench-language works237,207