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Record W4293708357 · doi:10.1016/s2352-3026(22)00215-0

Development of an international standard set of outcome measures for patients with venous thromboembolism: an International Consortium for Health Outcomes Measurement consensus recommendation

2022· review· en· W4293708357 on OpenAlexaff
Adam Gwozdz, Cindy M.M. de Jong, Luz Sousa Fialho, Theerawich Likitabhorn, Frieda Sossi, Paula Blancarte Jaber, Anette Arbjerg Højen, Juan I. Arcelus, William R. Auger, Cihan Ay, Stefano Barco, Marcelo Basso Gazzana, Julie Bayley, Laurent Bertoletti, Arina J. ten Cate‐Hoek, Alexander T. Cohen, Jean M. Connors, J.‐P. Galanaud, Nicos Labropoulos, Nicole Langlois, Mark H. Meissner, Simon Noble, Esther J. Nossent, Paula Ponce de León Lovatón, Helia Robert‐Ebadi, Rachel Rosovsky, Noa Smolenaars, Mark Toshner, Cécile Tromeur, Kang-Ling Wang, Eli Westerlund, Kerstin de Wit, Stephen Black, Frederikus A. Klok

Bibliographic record

VenueThe Lancet Haematology · 2022
Typereview
Languageen
FieldMedicine
TopicVenous Thromboembolism Diagnosis and Management
Canadian institutionsImpactMcMaster UniversityQueen's UniversityOttawa HospitalHealth Sciences CentreUniversity of TorontoSunnybrook Health Science Centre
FundersLeids Universitair Medisch CentrumLEO PharmaBoston Scientific CorporationUniversiteit LeidenKing's College LondonNational Institute for Health and Care Research
KeywordsMedicineBenchmarkingVenous thromboembolismOutcome (game theory)Outcomes researchSet (abstract data type)Intensive care medicineHealth careMEDLINEInclusion (mineral)Alternative 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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0050.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.225
GPT teacher head0.430
Teacher spread0.205 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations59
Published2022
Admission routes1
Has abstractno

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