Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for their ongoing support in reviewing manuscripts for Fetal Diagnosis and Therapy:Jacques S. Abramowicz, Chicago, IL, USASandra Acevedo Gallegos, Mexico City, MexicoWilliam Ackerman, Chicago, IL, USAVincent Adolph, New Orleans, LA, USANeha Agarwal, Burlingame, CA, USAEnrico Ambrosini, Parma, ItalyJulieta Arguello, Buenos Aires, ArgentinaRoland Axt-Fliedner, Giessen, GermanyRon Bardin, Petah-Tikva, IsraelDavid Basurto, Leuven, BelgiumChristoph Berg, Cologne, GermanyEmma Bertucci, Modena, ItalyIsmail Bhorat, Durban, South AfricaKarin Blakemore, Baltimore, MD, USAYair J. Blumenfeld, Palo Alto, CA, USAAntoni Borrell, Barcelona, SpainTerry L. Buchmiller, Boston, MA, USAHorst Buxmann, Gelnhausen, GermanyAlicia Chaves, College Park, MD, USADavid Chitayat, Toronto, ON, CanadaAndrew H. Chon, Portland, OR, USAMahesh Choolani, Singapore, SingaporeFlavia Correa, Lisbon, PortugalErich Cosmi, Padua, ItalyMonica Cruz-Lemini, Barcelona, SpainThemistoklis Dagklis, Thessaloniki, GreeceTiffany Deihl, Pittsburgh, PA, USAGreggory R. De Vore, Passadena, CA, USAPhilip Dekoninck, Rotterdam, The NetherlandsJan Deprest, Leuven, BelgiumRamiro Jesus Diaz-Primera, Santo Domingo, Dominican RepublicRyne Didier, Boston, MA, USANikolina Docheva, Toledo, OH, USARoopali V. Donepudi, Houston, TX, USARoopali Donepudi, MD, Houston, TX, USACaitlin R. Eason, Aurora, CO, USAStephen Paul Emery, Pittsburgh, PA, USAMasayuki Endo, Osaka, JapanAdolfo Etchegaray, Columbus, OH, USAMark I. Evans, New York, NY, USAHomero Flores Mendoza, Toronto, ON, CanadaDenis Gallot, Clermont-Ferrand, FranceCarmen Julia Gaona, Mexico City, MexicoJuliana S. Gebb, Philadelphia, PA, USACesar David Gil Armas, Baix Llobregat, SpainEnrique Gil Guevara, Cincinnati, OH, USASavino Gil-Pugliese, Cordoba, ArgentinaVeronica Giorgione, London, UKMamatha Gowda, Pondicherry, IndiaGianpaolo Grisolia, Mantova, ItalyMatthew T. Harting, Houston, TX, USAChelsea Haynes, Providence, RI, USAAkos Herzeg, San Francisco, CA, USAErin S. Huntley, Houston, TX, USAJennifer H. Johnston, Houston, TX, USALuc Joyeux, Houston, TX, USADilkash Kajal, Toronto, ON, CanadaBeth Kline-Fath, Cincinnati, OH, USAShaun M. Kunisaki, Baltimore, MD, USAOscar Lavalle-López, Cartagena, ColombiaWesley Lee, Houston, TX, USAFelicia Lemoine, Houston, TX, USALiesbeth Lewi, Leuven, BelgiumEdouard Leyne, Paris, FranceKenneth W. Liechty, Tucson, AZ, USAAnna Locatelli, Monza, ItalyEgle Machtejeviene, Kaunas, LithuaniaRaigam Jafet Martinez-Portilla, Barcelona, SpainMiguel Martinez-Rodriguez, Guadalajara, MexicoCitra Mattar, Singapore, SingaporeDaniela Medina-Castro, Mexico City, MexicoNestor Medina-Castro, Mexico City, MexicoHamutal Meiri, Tzrifin, IsraelAntonio Méndez-González, Guadalajara, MexicoArun Meyyazhagan, Detroit, MI, USATalita Micheletti, Barcelona, SpainJena L. Miller, Baltimore, MD, USAMonica Minopoli, Parma, ItalySwati Mody, Ann Arbor, MI, USASaulo Molina-Giraldo, Bogotá, ColombiaMartha A. Monson, Murray, KY, USAShaine Morris, Houston, TX, USAJessian Louis Munoz, Houston, TX, USAIvana Musilova, Hradec Kralove, CzechiaMasahiko Nakata, Tokyo, JapanRommy Novoa, Lima, PeruAkihide Ohkuchi, Tochigi, JapanOluyinka O. Olutoye, Columbus, OH, USAJavier U. Ortiz, Munich, GermanyLucas Otaño, Buenos Aires, ArgentinaBettina Paek, Seattle, WA, USAIoannis Papastefanou, Athens, GreeceRichard B. Parad, Boston, MA, USAMauro Parra-Cordero, Santiago, ChileMiguel Parra-Saavedra, Barranquilla, ColombiaJose L. Peiro, Cincinnati, OH, USAErin E. Perrone, Ann Arbor, MI, USANina Peters, Rotterdam, The NetherlandsEva Pompilii, Verona, ItalyAmy B. Powne, Sacramento, CA, USAManesha Putra, Aurora, CO, USAEdwin Quarello, Marseille, FranceVeniamin Ratner, Manhattan, NY, USAJerri Refuerzo, Houston, TX, USAGiuseppe Rizzo, Rome, ItalyMara Rosner, Baltimore, MD, USARodrigo Ruano, Miami, FL, USAFrancesca Maria Russo, Leuven, BelgiumKate Russo, Adelaide, SA, AustraliaHaruhiko Sago, Tokyo, JapanMagdalena Sanz-Cortes, Houston, TX, USAJaime Danielle Schachar, Calgary, AB, CanadaDietmar Schlembach, Berlin, GermanyWaldo Sepulveda, Santiago, ChileAlvaro Sepúlveda-Martínez, Santiago, ChileAimen Farouk Shaaban, Chicago, IL, USAAlireza A. Shamshirsaz, Boston, MA, USAAntonis Siargkas, Thessaloniki, GreeceFemke Slaghekke, Leiden, The NetherlandsSaul Snowise, Minneapolis, MN, USADavid Somerset, Calgary, AB, CanadaTamara Stampalija, Trieste, ItalyBlair Stevens, Houston, TX, USADan Tirosh, Beer Sheva, IsraelGabriele Tonni, Reggio Emilia, ItalyCristina Trilla, Barcelona, SpainKuoJen Tsao, Houston, TX, USAShifa Turan, Baltimore, MD, USAOzhan M. Turan, Baltimore, MD, USABeatrice Valentini, Rome, ItalyRosa Villalobos-Gómez, Guadalajara, MexicoAnthony M. Vintzileos, New York, NY, USAAlexadre Vivanti, Paris, FranceConstantin Von Kaisenberg, Hannover, GermanyMiho Watanabe, Suita, JapanPeter H. Yang, Houston, TX, USAYoav Yinon, Tel-Aviv, IsraelMateusz Zamlynski, Bytom, PolandAugusto Zani, Toronto, ON, Canada
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 | 0.022 | 0.237 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.273 | 0.186 |
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".