Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for the ongoing support in reviewing manuscripts for Opthalmologica.Ugur Acar, Konya, TurkeyMayss Al-Sheikh, Zurich, SwitzerlandGiuseppe Maria Albanese, Rome, ItalyTomas S. Aleman, Philadelphia, PA, USAMicol Alkabes, Novara, ItalyAlessio Antropoli, Lombardia, ItalyCengiz Aras, Istanbul, TurkeyJ. Fernando Arevalo, Baltimore, MA, USALuis Arias, Barcelona, SpainGerd Uwe Auffarth, Heidelberg, GermanyVilma Jurate Balciuniene, Kaunas, LithuaniaLieselotte Berger, Bern, SwitzerlandAndreas Berlin, Würzburg, GermanyRui M. Bernardes, Coimbra, PortugalAhmet Burak Bilgin, Antalya, TurkeyAlmut Bindewald-Wittich, Ulm, GermanyJyotirmay Biswas, Chennai, IndiaEnrico Borrelli, Turin, ItalyPedro C. Carricondo, Sao Paulo, BrazilStanley Chang, New York, NY, USASteve Charles, Philadelphia, PA, USAAdnan Cinal, Tuşba/Van, TurkeyGabor Deak, Vienna, AustriaSebastiano Del Fabbro, Milan, ItalyGurkan Erdogan, Istanbul, TurkeyLorenzo Ferro Desideri, Bern, SwitzerlandAlejandro Fonollosa-Calduch, Bizkaia, SpainSerena Fragiotta, Rome, ItalyAnibal Francone, Buenos Aires, ArgentinaPierre-Henry Gabrielle, Dijon, FranceMathias Gallardo, Paris, FranceAlain Gaudric, Paris, FranceJulio J. Gonzalez-Lopez, Madrid, SpainChristine Goodchild, Bristol, UKStratos V. Gotzaridis, Athens, GreeceBetul Onal Gunay, Trabzon, TurkeyOmesh Gupta, Marlton, NJ, USAAmod Gupta, Chandigarh, IndiaBilal Haj Najeeb, Vienna, AustriaJing Han, Xian, ChinaXiangui He, Shanghai, ChinaMartin Hein, Syndney, NSW, AustraliaRuth Hogg, Belfast, UKYi-Ting Hsieh, Taipei, TaiwanDanilo Iannetta, Rome, ItalyChunhui Jiang, Shanghai, ChinaJessica Karuntu, Leiden, The NetherlandsAnkush Kawali, Bangalore, IndiaMonica Khitri, Los Angeles, CA, USAOliver Niels Klefter, Glostrup, DenmarkGregg T. Kokame, Honolulu, HI, USAAbhishek Kothari, Maharashtra, IndiaIgor Kozak, Tucson, AZ, USATimothy Y.Y. Lai, Kowloon, ChinaChien-Hsiung Lai, Chiayi City, TaiwanSeungwoo Lee, Gyeong-Ju, Republic of KoreaChristoph Leisser, Vienna, AustriaBirgit Lorenz, Marburg, GermanyClaudio Lovino, Naples, ItalyMichele Manzulli, Rotterdam, The NetherlandsJoão Pedro Marques, Coimbra, PortugalCarsten H. Meyer, Chur, SwitzerlandMichael Mimouni, Haifa, IsraelZofia Anna Nawrocka, Lodz, PolandX. Nguyen, Leiden, The NetherlandsRaphaelle Ores, Montréal, QC, CanadaDong Ho Park, Daegu, Republic of KoreaBarbara Parolini, Brescia, ItalyNimesh A. Patel, Boston, MA, USAMarco Pellegrini, Ferrara, ItalyDavid Pérez González, Puebla, MexicoIvan Potapenko, Copenhagen, DenmarkRaffaele Raimondi, Milan, ItalySeemant Raizada, Kuwait Dhahia, KuwaitDavid J. Ramsey, Peabody, MA, USAIsabel Relimpio López, Alcalá de Guadaíra, SpainAnnekatrin Rickmann, Sulzbach, GermanySrinivasan Sanjay, Bangalore, IndiaAna Rita Santos, Coimbra, PortugalMehmet Ali Sekeroglu, Ankara, TurkeyNerea Sevilla, Valencia, SpainKei Shinoda, Saitama, JapanMarc Sirks, Amsterdam, The NetherlandsVincent Soler, Toulouse, FrancePanagiotis Stavrakas, Rion, GreeceYousif Subhi, Copenhagen, DenmarkSimon K.H. Szeto, Kowloon, ChinaJan Darius Unterlauft, Bern, SwitzerlandYoshihiko Usui, Shinjuku-ku, JapanSami Uwaydat, Little Rock, AR, USAThomas Van Rijssen, Leiden, The NetherlandsPeng Yan, Brampton, ON, CanadaXianglong Yi, Urumchi, ChinaSiqing Yu, Basel, SwitzerlandSouska Zandi, Bern, SwitzerlandGuoming Zhang, Shenzhen, ChinaYong Zhong, Pekin, 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 | 0.018 | 0.185 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.284 | 0.202 |
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".