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Record W2082043630 · doi:10.1111/jth.12231

Recommendations for the standardization of light transmission aggregometry: a consensus of the working party from the platelet physiology subcommittee of SSC/ISTH

2013· article· en· W2082043630 on OpenAlexaff
Marco Cattaneo, Chiara Cerletti, Paul Harrison, Catherine P.M. Hayward, Dermot Kenny, Diane J. Nugent, Paquita Nurden, A. Koneti Rao, Alvin H. Schmaier, Steve P. Watson, Federico Lussana, Mariateresa Pugliano, Alan D. Michelson

Bibliographic record

VenueJournal of Thrombosis and Haemostasis · 2013
Typearticle
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsHamilton Regional Laboratory Medicine ProgramMcMaster University
FundersBritish Heart Foundation
KeywordsStandardizationMedicinePresentation (obstetrics)Psychological interventionConsensus conferenceMEDLINEProtocol (science)Systematic reviewComputer scienceMedical physicsAlternative medicinePathologySurgeryPolitical scienceNursingInternal medicine

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)0.202
metaresearch head score (Gemma)0.199
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.202
Threshold uncertainty score0.984

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.2020.199
Meta-epidemiology (narrow)0.0030.003
Meta-epidemiology (broad)0.0060.011
Bibliometrics0.0140.009
Science and technology studies0.0060.008
Scholarly communication0.0110.006
Open science0.0250.008
Research integrity0.0260.028
Insufficient payload (model declined to judge)0.0050.006

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 head0.054
GPT teacher head0.297
Teacher spread0.243 · 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.

Study designNot applicable
Domainnot available
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

Citations547
Published2013
Admission routes1
Has abstractno

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