MétaCan
Menu
Back to cohort
Record W3153383069 · doi:10.1111/jth.15344

Heparin‐induced thrombocytopenia: Construction of a pretest diagnostic score derived from the analysis of a prospective multinational database, with internal validation

2021· article· en· W3153383069 on OpenAlexaff
Brigitte Tardy, Emmanuel de Maistre, Claire Pouplard, Émilie Presles, Martine Alhenc‐Gelas, Dominique Lasne, Marie‐Hélène Horellou, C. Mouton, Anne Françoise Serre-Sapin, Anne Bauters, Philippe Nguyên, François Mullier, Julien Perrin, Grégoire Le Gal, Pierre‐Emmanuel Morange, L. Grunebaum, Agnés Lillo‐Le Louët, Ismaı̈l Elalamy, Yves Gruel, Andreas Greinacher, Thomas Lecompte, Bernard Tardy

Bibliographic record

VenueJournal of Thrombosis and Haemostasis · 2021
Typearticle
Languageen
FieldMedicine
TopicHeparin-Induced Thrombocytopenia and Thrombosis
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersSanofi
KeywordsHeparin-induced thrombocytopeniaMedicineConfidence intervalHeparinPre- and post-test probabilityInternal medicineReceiver operating characteristicProspective cohort studyObservational studyDatabaseCohortArea under the curveEmergency medicineSurgery

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)0.010
metaresearch head score (Gemma)0.022
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.022
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.058
GPT teacher head0.319
Teacher spread0.261 · 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 designSimulation or modeling
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

Citations17
Published2021
Admission routes1
Has abstractno

Explore more

Same venueJournal of Thrombosis and HaemostasisSame topicHeparin-Induced Thrombocytopenia and ThrombosisFrench-language works237,207