Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for the ongoing support in reviewing manuscripts for the Journal of Vascular Research:Simon Andrup, Oslo, NorwayZsolt Bagi, Augusta, GA, USAPeter Balogh, Newark, NJ, USAChris Barrett, Omaha, NE, USAKayla Bayless, Bryan, TX, USAPascal Bernatchez, Vancouver, BC, CanadaGeorg Breier, Dresden, GermanyAlbert Busch, Dresden, GermanyJoshua T. Butcher, Stillwater, OK, USASanjukta Chakraborty, Bryan, TX, USAPaul Chantler, Morgantown, WV, USAJohn C. Chappell, Blacksburg, VA, USAYen Lin Chen, Charlottesville, VA, USAGeraldine Clough, Southampton, UKAntonio Colantuoni, Naples, ItalyEvan DeVallance, Morgantown, WV, USAGreg Dick, Fort Worth, TX, USAYurdaer Donmez, Adana, TurkeyLuke Dunaway, Charlottesville, VA, USAPaul Fadel, Arlington, VA, USAStephanie J. Frisbee, London, ON, CanadaDouglas Hamilton, London, ON, CanadaDaniel Henrion, Angers, FranceMichael Hill, Columbia, SC, USAMajid Jadidi, Omaha, NE, USALars Jørn Jensen, Copenhagen, DenmarkYasuki Kihara, Hiroshima, JapanFong Wilson Lam, Houston, TX, USABernard I. Lévy, Paris, FranceVolkhard Lindner, Scarborough, ME, USAPin-Ming Liu, Guangzhou, ChinaHong Lu, Lexington, KY, USAPaolo Madeddu, Bristol, UKSarah McGarrity, Reykjavík, IcelandJohn McGuire, London, ON, CanadaTimothy Murphy, Sydney, NSW, AustraliaCoral L. Murrant, Guelph, ON, CanadaCharles Norton, Columbia, SC, USARoxana Ola, Mannheim, GermanyMark Olfert, Morgantown, WV, USAAli Ozyildiz, Rize, TurkeySong-Young Park, Omaha, NE, USAShayn Pierce-Cottler, Charlottesville, VA, USASlaven Pikija, Salzburg, AustriaLaura Pillay, Bellingham, WA, USALuca Possenti, Milan, ItalyNicolás F. Renna, Mendoza, ArgentinaMark C. Renton, Roanoke, VA, USAUlrike Resch, Vienna, AustriaGuillermo Romero, Pittsburgh, PA, USAZoltan Ruzsa, Budapest, HungaryGlauco Saes, Sao Paulo, BrazilIan Salt, Glasgow, UKOtto Alexander Sanchez, Minneapolis, MN, USATakeshi Sasaki, Hamamatsu, JapanMicah B. Schott, Omaha, NE, USAUlf Simonsen, Aarhus, DenmarkSarah Singh, London, ON, CanadaAdam Straub, Pittsburgh, PA, USATimothy Michael Sveeggen, Omaha, NE, USAGirish Talaulikar, Canberra, ACT, AustraliaFen Tang, Nanning, ChinaMeng-xiong Tang, Shangdong, ChinaScott Thomas Thomas, Toronto, ON, CanadaYuqian Tian, Omaha, NE, USAEd van Bavel, Amsterdam, The NetherlandsArdita Vincenzo, Milan, ItalyDenis J. Wakeham, Dallas, TX, USAMingyi Wang, Baltimore, MD, USAStephanie Watts, East Lansing, MI, USACamilla Ferreira Wenceslau, Columbia, SC, USAShawn Whitehead, London, ON, CanadaBrett Wong, Atlanta, GA, USAJumpei Yamamoto, Tokyo, JapanHanming Zhang, New Haven, CT, USAIrving Zucker, Omaha, NE, USA
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 | 0.023 | 0.237 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.274 | 0.185 |
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".