Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for the ongoing support in reviewing manuscripts for Case Reports in Ophthalmology:Asaf Achiron, Tel Aviv, IsraelMasahiro Akada, Kyoto, JapanKunihiko Akiyama, Tokyo, JapanHasenin Al-Khersan, Miami, FL, USAYahya Al-Najmi, Jeddah, Saudi ArabiaOscar Daniel Albis-Donado, Mexico City, MexicoDaniela Alvarez-Ascencio, Mexico City, MexicoDenis Anaya Reyes, Cali, ColombiaIrene Ingrid Anteby, Jerusalem, IsraelPenny Asbell, Memphis, TN, USAAlbert J. Augustin, Karlsruhe, GermanyIrina S. Barequet, Tel Hashomer, IsraelMaurizio Battaglia Parodi, Milan, ItalyKristine Baumane, Riga, LatviaOscar Vicente Beaujon, Caracas, VenezuelaSoroosh Behshad, Orange County, CA, USATamar Ben Yosef, Jerusalem, IsraelAbdhish R. Bhavsar, Maplewood, MN, USAElin Bohman, Solna, SwedenDavide Borroni, Venice, ItalyEster Carreño, Madrid, SpainJaume Català-Mora, Barcelona, SpainChandana Chakraborti, Kolkata, IndiaChristina Choe, Hendersonville, TN, USAShih-Jen Chen, Taipei, TaiwanMaria Vittoria Cicinelli, Milan, ItalyInês Coelho da Costa, Porto, PortugalArthur Bernard Cummings, Dublin, IrelandDaniyar Dauletbekov, Tübingen, GermanyAdam de la Garza, Atlanta, GA, USAEfstathios T. Detorakis, Heraklion, GreeceVivian Paraskevi Douglas, Boston, MA, USASpyridon Doumazos, Athens, GreeceZeinab Saad Eldin El Sanabary, Cairo, EgyptTamer Fahmy Eliwa, Cairo, EgyptAhmed Ak Elmassry, Alexandria, EgyptSalam Saeb Erakat, Jerusalem, IsraelEvangelina Esposito, Montreal, QC, CanadaWael Ewais, Cairo, EgyptMonika Fleckenstein, Salt Lake City, UT, USADavid Fleischman, Chapel Hill, NC, USAIan Caithness Francis, Sydney, NSW, AustraliaAlena Furdova, Bratislava, SlovakiaXinxiao Gao, Beijing, ChinaGhassan Ghorayeb, Morgantown, WV, USAPrasanth Gireesh, Chennai, IndiaMichaella Goldstein, Tel Aviv, IsraelFabrizio Gozzi, Bologna, ItalySeanna Grob, San Francisco, CA, USAMostafa Hanout, Corner Brook, NL, CanadaSharat Hegde, Udupi, IndiaHeinrich Heimann, Liverpool, UKRichard Yudi Hida, São Paulo, BrazilKoji Hirano, Toyota, JapanDetlef Holland, Kiel, GermanySadid Hooshmandi, Tehran, IranDanilo Iannetta, Bologna, ItalyMatias Iglicki, Buenos Aires, ArgentinaHiroko Imaizumi, Sapporo, JapanJuan Iturralde, Guayaquil, EcuadorWasim Jabar, Tel Aviv, IsraelVesna Jaksic, Belgrade, SerbiaMohammed Javed Ali, Hyderabad, IndiaKuldar Kaljurand, Tartu, EstoniaAntonia Kartika, Bandung, IndonesiaSatoru Kase, Sapporo, JapanJohn M. Katsimpris, Patras, GreeceGabriel Katz, Tel Hashomer, IsraelAkiko Kimura, Nishinomiya, JapanMichael Kinori, Ashdod, IsraelKamal Kishore, Peoria, IL, USAAinat Klein, Tel Aviv, IsraelArtur Klett, Tallinn, EstoniaBoris Knyazer, Beer-Sheva, IsraelSentaro Kusuhara, Kobe, JapanPatrick Lavin, Nashville, TN, USAEliya Levinger, Tel Aviv, IsraelLior Lipsky, Palmerston North, New ZealandCody Lo, Ottawa, ON, CanadaGregorio Lo Giudice, Palermo, ItalyBénédicte Locht, Liège, BelgiumRafael Lucena, Berlin, GermanyDelfitri Lutfi, Surabaya, IndonesiaAlessandro Magnasco, Genoa, ItalyGianluca Manni, Rome, ItalyAhmad M. Mansour, Beirut, LebanonFrancesc March de Ribot, Barcelona, SpainEnrico Martini, Sassuolo, ItalySamuel Masket, Venice, CA, USACarlos Menezes, Braga, PortugalFeliciana Menna, Aarau, SwitzerlandCarsten H. Meyer, Davos, SwitzerlandDaphna Mezad-Koursh, Tel Aviv, IsraelJonathan Micieli, Toronto, ON, CanadaPaolo Milani, Milan, ItalyElad Moisseiev, Tel Aviv, IsraelThomas P. Moloney, Brisbane, QLD, AustraliaMajid Moshirfar, Salt Lake City, UT, USANazokat Mukhamedova, Tashkent, UzbekistanHossein Nazari, Minneapolis, MN, USASimona Delia Nicoara, Cluj-Napoca, RomaniaKentaro Nishida, Suita, JapanPedro Javier Nuova, Yerba Buena, ArgentinaAkio Oishi, Nagasaki, JapanWael Otaif, Abha, Saudi ArabiaErnesto Otero Leongómez, Bogota, ColombiaSandeep Pal, Chitrakoot, IndiaJoshua Pasol, Miami, FL, USARosa Lomelino Pinheiro, Lisbon, PortugalJoão Ponces Ramalhão, Porto, PortugalHugo Quiroz-Mercado, Mexico City, MexicoRony Rachmiel, Tel Aviv, IsraelBoris Rosin, Pittsburgh, PA, USAPaisan Ruamviboonsuk, Bangkok, ThailandAllan E. Rubenstein, New York, NY, USAJoanna S. Saade, Beirut, LebanonAli Osman Saatci, Izmir, TurkeyAliakbar Saber Moghaddam Ranjbar, Mashhad, IranRoy Schwartz, London, UKShervin Sharifkashani, Tehran, IranSavitri Sharma, Hyderabad, IndiaKei Shinoda, Iruma-Gun, JapanAnirudh Singh, New Delhi, IndiaAnupam Singh, Rishikesh, IndiaJesper Skov, Fredericia, DenmarkHansell Soto, Santo Domingo, Dominican RepublicShiri Soudry, Haifa, IsraelOriel Spierer, Tel Aviv, IsraelJessica Steen, Fort Lauderdale, FL, USAVera Sumual, Jakarta, IndonesiaGangadhara Sundar, Singapore, SingaporeSameeksha Tadepalli, Hyderabad, IndiaYasuhiro Takahashi, Aichi, JapanLee Teak Tan, Chelmsford, UKHirotaka Tanabe, Yokkaichi, JapanOlcay Tatar, Ankara, TurkeyGunjan Tomar, Chitrakoot, IndiaRodrigo Martín Torres, Colonia Avellaneda, ArgentinaSarah Touhami, Paris, FranceElias I. Traboulsi, Cleveland, OH, USAUsanee Tungsattayathitthan, Bangkok, ThailandSteffen Valckenberg, Salt Lake City, UT, USAFrancisco Javier Valentín Bravo, Madrid, SpainDiego Valera-Cornejo, Santiago de Querétaro, MexicoGeeta K. Vemuganti, Hyderabad, IndiaPradeep Venketesh, New Delhi, IndiaAroucha Vickers, Las Vegas, NV, USARodrigo Vilares-Morgado, Porto, PortugalMichael Waisbourd, Tel Aviv, IsraelNorihiro Watanabe, Kawasaki, JapanMasakazu Yamada, Tokyo, JapanDinah Zur, Tel Aviv, Israel
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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 | 0.015 | 0.199 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.014 | 0.009 |
| Open science | 0.004 | 0.007 |
| Research integrity | 0.006 | 0.007 |
| Insufficient payload (model declined to judge) | 0.286 | 0.176 |
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".