Bibliographic record
Abstract
Aims and scope. The mission of the Journal of Thrombosis and Haemostasis is to advance science related to the important medical problems of thrombosis, bleeding disorders and vascular biology through the diffusion and exchange of information and ideas within the international research community. The Journal publishes high quality, original research reports, state of the art reviews, brief reports, case reports, invited commentaries on publications in the Journal, forum articles, correspondence and announcements. Editors invite both fundamental and clinical contributions. These include basic manuscripts on blood coagulation and fi brinolysis, proteins and reactions, blood platelets, and the interaction of all these components with other biological systems such as, but not limited to, the vessel wall, blood cells, and invading organisms. Clinical manuscripts can cover a wide variety of topics including venous thrombosis and arterial disease, plus hemophilia and other bleeding disorders, as well as platelet diseases. The subject area of clinical manuscripts can range from etiology to diagnostics, prognosis, prevention, and treatment. Subscription information. Journal of Thrombosis and Haemostasis is published in 12 issues per year. Institutional subscription prices for 2018 are: Print & Online: 1764 (Europe), 1389 (UK), US$1852 (The Americas), US$2714 (Rest of World). Prices are exclusive of tax. Asia-Pacifi c GST, Canadian GST and European VAT will be applied at the appropriate rates. For more information on current tax rates, please go to wileyonlinelibrary.com/tax-vat. The price includes online access to the current and all online back fi les to January 1st 2014, where available. For other pricing options, including access information and terms and conditions,
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.820 | 0.781 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".