Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for the ongoing support in reviewing manuscripts for Gynecologic and Obstetric Investigation:Maurício Simões Abrão, Sao Paulo, BrazilGulzhanat Aimagambetova, Astana, KazakhstanMelike Nur Akın, Mugla, TurkeyHaya Al-Fozan, Riyadh, Saudi ArabiaJoão Alves, Lisboa, PortugalHafiz Muhammad Arsalan, Bishkek, KyrgyzstanKiper Aslan, Bursa, TurkeyLaura Avagliano, Milan, ItalyFloor Backes, Columbus, OH, USARoberto Baldelli, Rome, ItalySven Becker, Frankfurt, GermanyAlexandra Benoit, Clamart, FranceNeta Benshalom-Tirosh, Ashdod, IsraelBianca Bianco, Santo Andre, BrazilJovan Sreten Bila, Belgrade, SerbiaMaria Mercedes Binda, Bruxelles, BelgiumVimee Bindra, Hyderabad, IndiaMariano Bizzarri, Rome, ItalyGiorgio Bogani, Milan, ItalyErnesto Bosch, Valencia, SpainAndrea Braga, Mendrisio, SwitzerlandByron Calhoun, Charleston, SC, USAAntonio Cano, Valencia, SpainThomas Carter, Northwood, UKMehmet Bilge Cetinkaya, Samsun, TurkeyPharuhas Chanprapaph, Bangkok, ThailandKimon Chatzistamatiou, Thessaloniki, GreeceKoel Chaudhury, Kharagpur, IndiaEttore Cicinelli, Bari, ItalyFrancois Closon, Liege, BelgiumNicola Colacurci, Naples, ItalyMario Antonio Congiu, Rome, ItalyMark Connolly, Mooresville, NC, USACarmine Conte, Rome, ItalyIan Douglas Cooke, Sheffield, UKAna Corachán, Valencia, SpainMauro Cozzolino, Valencia, SpainIlaria Cuccu, Rome, ItalyOttavia Doria, Rome, ItalyAngelos Danildis, Thessaloniki, GreecePapa Dasari, Puducherry, IndiaYair Daykan, Kfar Saba, IsraelPasquale De Franciscis, Naples, ItalyLucia De Santis, Milan, ItalyGiovanni De Vito, Pavia, ItalyCarla Domínguez-Gallardo, Barcelona, SpainMattia Dominoni, Pavia, ItalyHeba El-Shorafa, Münster, GermanyGeorge Uchenna Eleje, Nnewi, NigeriaIbrahim Elkhatib, Abu Dabi, UAEAndrea Etrusco, Palermo, ItalyFabio Facchinetti, Modena, ItalyShangrong Fan, Shenzhen, ChinaAmerigo Ferrari, Pisa, ItalyMatteo Frigerio, Monza, ItalyLiliana Galli, Lausanne, SwitzerlandAlessandro Genazzani, Modena, ItalyFani Gkrozou, Ioannina, GreeceMichele Gomes da Broi, Ribeirao Preto, BrazilStephan Gordts, Leuven, BelgiumGiovanni Grandi, Modena, ItalyYvette Groszmann, Brookline, MA, USAPraveen Guruvaiah, Fort Lee, NJ, USALuis Guzman, Lima, PeruJoe Haydamous, Houston, TX, USARuben Heremans, Leuven, BelgiumEdgar Hernandez-Andrede, Houston, TX, USAOsamu Wada, Hiraike, Tokyo, JapanHananel Holzer, Montreal, QC, CanadaAngelo B. Hooker, Zaandam, The NetherlandsYu-Wen Hu, Taipei, TaiwanYevgeniya Ioffe Loma, Linda, CA, USAFrancis Jacob, Basel, SwitzerlandDimitrios Rafail Kalaitzopoulos, Athens, GreeceErbil Karaman, Van, TurkeyRowan Karvas, St. Louis, MO, USACihan Kaya, Istanbul, TurkeyJeong Sook Kim, Ulsan, South KoreaAleksandra Klisic, Podgorica, MontenegroPhilippe Koninckx, Bierbeek, BelgiumOlivera Kontic-Vucinic, Belgrade, SerbiaM. Faruk Kose, Istanbul, TurkeyMichal Kovo, Kfar Saba, IsraelSeung-Yup Ku, Seoul, South KoreaPinar Kubilay, Ankara, TurkeyMichael Kunicki, Warszawa, PolandSanja Kupesic Plavsic, El Paso, TX, USALindsay Kuroki, St. Louis, MO, USAChyong-Huey Lai, Taoyuan, TaiwanAlicia Lok Leon del Castillo, Amsterdam, The NetherlandsPien Lof, Amsterdam, The NetherlandsLena Luyckx, Leuven, BelgiumLeslie Massad, St. Louis, MO, USARafal Moszynski, Poznan, PolandGraziella Moufawad, Beirut, LebanonAntoine Naem, Duisburg, GermanyErnest Ng, Hong Kong, ChinaPierpaolo Nicolì, Bari, ItalyZuzana Niznanska, Bratislava, SlovakiaMaurizio Nordio, Rome, ItalyGeorge Pados, Thessaloniki, GreeceAlessio Paffoni, Cantu, ItalyMegh Patel, Ahmedabad, IndiaMary Ellen Pavone, Chicago, IL, USAFelipe Peraza, Culiacan Rosales, MexicoEleonora Persoons, Leuven, BelgiumDanielle Peterse, Cambridge, MA, USAAriana Plasger, Munster, GermanyJelena Popovic, Evanston, IL, USAPaola Quaresima, Catanzaro, ItalyAlex Rabinovich, Beer Sheva, IsraelFernando M. Reis, Belo Horizonte, BrazilGaetano Riemma, Naples, ItalyMarcus Rijken, Amsterdam, The NetherlandsReut Rotem, Beer Sheva, IsraelGabriele Saccone, Philadelphia, PA, USASaghar Salehpour, Tehran, IranHassan Sallam, Alexandria, EgyptSanne Samuels, Amsterdam, The NetherlandsGülistan Sanem Saribas, Ankara, TurkeyXavier Sastre-Garau, Nancy, FranceRaja Sayegh, Boston, MA, USAAntonio Schiattarella, Naples, ItalyJuan-Enrique Schwarze, Darmstadt, GermanySamar Semaan, Houston, TX, USAGilda Sicilia, Cagliari, ItalyWanyonyi Sikolia, Nairobi, KenyaRamon Smolders, Rotterdam, The NetherlandsMariana Sousa Leite, Cardiff, UKEllen E. Stobberingh, Maastricht, The NetherlandsAlessandro Svelato, Rome, ItalyGrzegorz Szewczyk, Warsaw, PolandRichard ten Broek, Nijmegen, The NetherlandsMieke ten Eikelder, Nijmegen, The NetherlandsPremal Thaker, St. Louis, MO, USACynthia Thomson, Tucson, AZ, USAOlga Triantafyllidou, Athens, GreeceStefano, Uccella, Verona, ItalyUwe Ulrich, Berlin, GermanyNienke van Trommel, Amsterdam, The NetherlandsVictor Manuel Vargas-Hernández, Mexico City, MexicoKo van der Velden, Amsterdam, The NetherlandsChristos Venetis, Thessaloniki, GreecePaolo Vercellini, Milan, ItalyRosa Helena Villalobos-Gómez, Guadalajara, MexicoArtur Wdowiak, Lublin, PolandKurt Rodney Wharton, Royal Oak, MI, USAAmy Whitten, Royal Oak, MI, USAYu Xie, Shanghai, ChinaEmmanouil M. Xydias, Thessaloniki, GreeceHasan Yüksel, Aydin, TurkeyYing Zhou, Anhui, ChinaFulvio Zullo, Catanzaro, Italy
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 | 0.015 | 0.152 |
| 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 | 0.015 | 0.007 |
| Open science | 0.004 | 0.006 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.319 | 0.219 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".