Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for their ongoing support in reviewing manuscripts for Skin Pharmacology and Physiology:Nihal Ahmad, Madison, WI, USAMartin Albrecht, Leichlingen, GermanyEdileia Bagatin, São Paulo, BrazilJens M. Baron, Aachen, GermanyChristiane Bayerl, Wiesbaden, GermanyEnzo Berardesca, Rome, ItalyAlexandre Bergheau, Lyon, FranceStephan Bielfeldt, Hamburg, GermanyJoke Bouwstra, Leiden, The NetherlandsOliver Brandt, Basel, SwitzerlandNicole Braun, Witten, GermanyCarmen O. Cano, Brussels, BelgiumCarmen Cantisani, Rome, ItalySimone Cappilli, Rome, ItalyDemetrios Christou, Berlin, GermanyLuisa Coderch, Barcelona, SpainRolf Daniels, Tübingen, GermanyRazvigor Darlenski, Sofia, BulgariaMaxim Darvin, Dresden, GermanyKristien De Paepe, Brussels, BelgiumJunxiao Ding, Gansu, ChinaCorinna Dressler, Berlin, GermanyLissinda Du Plessis, Potchefstroom, South AfricaThomas Eigentler, Tübringen, GermanyRana Elewa, Oberursel, GermanyPeter Elsner, Jena, GermanyArpad Farkas, Glattbrugg, SwitzerlandSteven R. Feldman, Winston-Salem, NC, USARegina Fölster-Holst, Kiel, GermanyAkio Fujisawa, Tokyo, JapanElina Genina, Saratov, RussiaJuergen Harder, Kiel, GermanyLeonie S. Herzog, Berlin, GermanyKevin Ita, Vallejo, CA, USANathalie Jonca, Toulouse, FranceHyungil Jung, Seoul, Republic of KoreaMartin Kaatz, Chemnitz, GermanyYogeshvar Kalia, Geneva, SwitzerlandCornelia M. Keck, Marburg, GermanySanja Kezic, Amsterdam, The NetherlandsEmek Kocaturk, Istanbul, TurkeyPavel Kolkhir, Berlin, GermanyShery M.W. Labib, Cairo, EgyptMajella E. Lane, London, UKBernhard Lange-Asschenfeldt, Klagenfurt am Wörthersee, AustriaNicolas Lebonvallet, Brest, FranceTim Lee, Vancouver, BC, CanadaMarie Loden, Solna, SwedenDominique Lunter, Tübingen, GermanyHarald Maier, Vienna, AustriaHeena Maithania, Walton Beaches, FL, USAMao-Qiang Man, Guangzhou, ChinaWilliam J. McAuley, Hertfordshire, UKMartina C. Meinke, Berlin, GermanyGopi Menon, Trenton, NJ, USAKevin J. Mills, Raleigh, NC, USALaurent Misery, Brest, FranceNaresh Modepalli, Central Islip, NY, USAJuan J. Moreno, Barcelona, SpainNeelam Muizzuddin, Bethpage, NY, USAReinhard H.H. Neubert, Halle, GermanyToshio Nishiyama, Tokyo, JapanRoman J. Nowicki, Gdansk, PolandKazuhiro Ogai, Kanazawa, JapanKaan Orhan, Ankara, TurkeyMartin Pagac, Kaiseraugst, SwitzerlandGeorgios Pampalakis, Thessaloniki, GreeceRalf Paus, Miami, FL, USAManuel Pereira, Berlin, GermanyYves Poumay, Namur, BelgiumEhrhardt Proksch, Kiel, GermanyMichail C. Rallis, Athens, GreeceCatarina Rosado, Lisbon, PortugalJean Saurat, Geneva, SwitzerlandSnezana Savic, Belgrade, SerbiaUlrich Schaefer, Saarbrücken, GermanyJörg Scheffel, Berlin, GermanyManabu Shibasaki, Nara, JapanAndrzej Slominski, Birmingham, AL, USAPetra Staubach-Renz, Mainz, GermanyDorothy Supp, Cincinnati, OH, USAJinagli Tan, London, ON, CanadaRichard Taylor, West Boxford, USAAli Tfayli, Orsay, FranceErik Thiel, Berlin, GermanyValery V. Tuchin, Saratov, RussiaYoshikazu Uchida, Chuncheon, Republic of KoreaDominique Van Neste, Brussels, BelgiumStaffan Vandersee, Berlin, GermanyKaterina Vavrova, Hradec Kralove, Czech RepublicMarty Visscher, Cincinnati, OH, USAJörn M. Völker, Bielefeld, GermanyKoichi Watanabe, Tennodai, JapanJulia Welzel, Augsburg, GermanyPhilip W. Wertz, New Orleans, LA, USARandall Wickett, Cincinnati, OH, USAJohannes Wohlrab, Halle, GermanyVladimir Y. Zaitsev, Nizhniy Novgorod, RussiaSergey Zaytsev, Nancy, FranceMing Zeng, Guangzhou, China
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 | 0.020 | 0.205 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.018 | 0.010 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.313 | 0.227 |
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".