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Record W4367552266 · doi:10.1093/ehjcvp/pvad032

Antithrombotic treatment strategies in patients with established coronary atherosclerotic disease

2023· review· en· W4367552266 on OpenAlexafffund
Marco Valgimigli, Victor Aboyans, Dominick J. Angiolillo, Dan Atar, Davide Capodanno, Sigrun Halvorsen, Stefan James, Peter Jüni, Vijay Kunadian, Antonio Landi, Sergio Leonardi, Roxana Mehran, Gilles Montalescot, Eliano Pio Navarese, Josef Niebauer, Angelo Oliva, Raffaele Piccolo, Susanna Price, Robert F. Storey, Heinz Völler, Pascal Vranckx, Stephan Windecker, Keith A.A. Fox

Bibliographic record

VenueEuropean Heart Journal - Cardiovascular Pharmacotherapy · 2023
Typereview
Languageen
FieldMedicine
TopicAntiplatelet Therapy and Cardiovascular Diseases
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersAbbott VascularSt. Jude MedicalCytoSorbents EuropeIntas PharmaceuticalsIdorsia PharmaceuticalsTerumoSanofiAbiomedEisaiBiosensors International GroupMedicureInfraRedxMedicines CompanyCanada Excellence Research Chairs, Government of CanadaOsprey MedicalNovo NordiskDaiichi-SankyoRegeneron PharmaceuticalsBoston Scientific CorporationBristol-Myers SquibbEli Lilly and CompanyBiotronikAstraZenecaCSL BehringDaiichi Sankyo EuropeServierGilead SciencesBayer HealthCareCilagCardinal HealthEdwards LifesciencesAmgenPfizerUniversität Basel
KeywordsAntithromboticMedicineIntensive care medicineCoronary artery diseaseTerminologyRegimenFibrinolytic agentCardiologyInternal medicine

Abstract

fetched live from OpenAlex

OpenAlex records an abstract for this work, but it could not be fetched just now.

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)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.005
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.074
GPT teacher head0.340
Teacher spread0.266 · 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 designSystematic review
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

Citations62
Published2023
Admission routes2
Has abstractyes

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