Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for their ongoing support in reviewing manuscripts for the Journal of Vascular Research:Christian Aalkjær, Aarhus, DenmarkJill Akkerman, Stillwater, OK, USAMabruka Alfaidi, Omaha, NE, USAJerzy Beltowski, Lublin, PolandJacob Bentzon, Århus, DenmarkJerome Breslin, Tampa, FL, USAMichael Buerke, Siegen, GermanyAlbert Busch, Dresden, GermanyYujun Cai, New Haven, CT, USAAdam Case, Bryan, TX, USAJorge Castorena, New Orleans, LA, USADavid Centurion, Mexico City, MexicoGedas Cepinskas, London, ON, CanadaPaul D. Chantler, Morgantown, WV, USAYen Lin Chen, Charlottesville, VA, USARoss Clark, Albuquerque, NM, USAGeraldine Clough, Southampton, UKJ.E. Cole, Oxford, UKJudy Muller Delp, Tallahassee, FL, USASergey Dikalov, Nashville, TN, USAAdina E. Draghici, Cambridge, MA, USAJennifer Fang, New Orleans, LA, USABeate Fisslthaler, Frankfurt, GermanyAdam Glenn Goodwill, Rootstown, OH, USALian-Wang Guo, Madison, WI, USABrayden Halvorson, Troy, MI, USADaniel Henrion, Angers, FranceMatias Iglicki, Buenos Aires, ArgentinaWilliam F. Jackson, East Lansing, MI, USAMajid Jadidi, Omaha, NE, USAJun Jiang, Chongqing, ChinaOguz Karahan, Antalya, TurkeyAycan Kavala, Istanbul, TurkeyRashmi Kumari, Harrisburg, PA, USABernard I. Lévy, Paris, FranceKlaus Ley, Augusta, GA, USAJing Li, Charlottesville, VA, USAYankui Li, Tianjin, ChinaMauricio Lillo, Newark, NJ, USAVolkhard Lindner, Scarborough, ME, USASarah McGarrity, Reykjavík, IcelandJohn McGuire, London, ON, CanadaTre Mills, Charlottesville, VA, USAWalter L. Murfee, Gainesville, FL, USABenard Ogola, Augusta, GA, USAJessica Ramella-Roman, Miami, FL, USAMark C. Renton, Roanoke, VA, USACaroline Rickards, Denton, TX, USAJean Marie Ruddy, Charleston, SC, USAYves Sabbagh, Boston, MA, USAIan Salt, Glasgow, UKGaetano Santulli, New York, NY, USATakeshi Sasaki, Hamamatsu, JapanPriscila Sato, Birmingham, AL, USAValerie Schini-Kerth, Strasbourg, FranceMeghan W. Sedovy, Blacksburg, VA, USAUtpal Sen, Louisville, KY, USAMiroslav Spacek, Prague, CzechiaAnna Stanhewicz, Iowa, IA, USATimothy Michael Sveeggen, Omaha, NE, USAXue-Rui Tan, Shantou, ChinaDarla Tharp, Columbia, SC, USAScott Thomas, Toronto, ON, CanadaYuqian Tian, Omaha, NE, USADavid Ussery, Stillwater, OK, USABabu Budikote Venkatappa, Stanford, CA, USADenis J. Wakeham, Dallas, TX, USAKatsuhisa Waseda, Nagakute, JapanStephanie W. Watts, East Lansing, MI, USACamilla Ferreira Wenceslau, Columbia, SC, USALina YaQoub, San Francisco, CA, USAHao Yin, London, ON, CanadaScott Zawieja, Columbia, SC, USAZhen Zhou, Houston, TX, 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 | 0.021 | 0.222 |
| 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) | 0.281 | 0.194 |
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".