Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for their ongoing support in reviewing manuscripts for Molecular Syndromology:Anjali Aggarwal, Minneapolis, MN, USAWasim Ahmad, Islamabad, PakistanAlia Ahmed, Minneapolis, MN, USAAkçahan Akalin, Ankara, TurkeyShahi Ali, Chicago, IL, USAMaria Alvanou, Thessaloniki, GreeceIrene Ambrosetti, Bologna, ItalyShivarajan M. Amudhavalli, Kansas City, MO, USAYoko Aoki, Sendai, JapanMaría Arnedo, Zaragoza, SpainMohammad Asad, Nantes, FranceSulman Basit, Al Jimah, Saudi ArabiaMohammed Bellaoui, Oujda, MoroccoDavid Betts, Dublin, UKMuhammad Bilal, Sukkur, PakistanPeyman Bizargity, Newark, NJ, USALi F. Chan, London, UKJorge R. Corona-Rivera, Guadalajara, MexicoSergio Cuevas-Covarrubias, Mexico City, MexicoChristopher Cunniff, Tucson, AZ, USACharu Deshpande, Manchester, UKAvinash V. Dharmadhikari, Los Angeles, CA, USABruna L. Diniz, Porto Alegre, BrazilThomas Eggermann, Aachen, GermanyNour Elkhateeb, Cambridge, UKCarl Ernst, Montreal, QC, CanadaJosef Finsterer, Vienna, AustriaBarbara Fritz, Marburg, GermanyLivia Garavelli, Reggio Emilia, ItalyGarrett Gotway, Dallas, TX, USALudovico Graziani, Sassari, ItalyHakan Gurkan, Edirne, TurkeySemra Gürsoy, Izmir, TurkeyRaoul C.M. Hennekam, Amsterdam, The NetherlandsBetsy Hirsch, Minneapolis, MN, USARon Hochstenbach, Amsterdam, The NetherlandsHelle Høyer, Skien, NorwayLuz M.G. Huerta, Mexico City, MexicoMahmoud Y. Issa, Cairo, EgyptIvan Ivanovski, Zurich, SwitzerlandAiko Iwata-Otsubo, Ann Arbor, MI, USAJaak Jaeken, Kessel-Lo, BelgiumSaumya Jamuar, Singapore, SingaporePer H. Jonson, Helsinki, FinlandVanja Karamatic Crew, Redditch, UKHammal Khan, Islamabad, PakistanShazia Khan, Edinburgh, UKJun Kido, Kumamoto City, JapanAi L. Koh, Singapore, SingaporeAbdulkerim Kolkiran, Ankara, TurkeyDeepa A. Kumar, Boston, MA, USADhavendra Kumar, London, UKKenji Kurosawa, Yokohama, JapanMorag Lewis, London, UKThomas Liehr, Jena, GermanyBianca D.W. Linnenkamp, São Paulo, BrazilFransiska Malfait, Ghent, BelgiumAna T. Marcos, Seville, SpainNikolaos M. Marinakis, Athens, GreeceValentine Marquet, Limoges, FranceMuhammad Z. Mehboob, Oklahoma City, OK, USAMartin A. Mensah, Berlin, GermanyAmal M. Mohamed, Gizeh, EgyptArijit Mukhopadhyay, Manchester, UKHatice Mutlu, Ankara, TurkeyBaena Neus, Barcelona, SpainTetsuya Niihori, Sendai, JapanGen Nishimura, Saitama, JapanNobuhiko Okamoto, Izumi, JapanRafael A. Pacheco Orozco, Toronto, ON, CanadaErwin Pauws, London, UKLucas V.L. Pires, São Paulo, BrazilRobert Pogue, Brasilia, BrazilManuela Priolo, Reggio Calabria, ItalyBeatriz Puisac, Zaragoza, SpainKarima Rafat, Gizeh, EgyptAlessandra Renieri, Siena, ItalyRoss Ridsdale, Edmonton, AB, CanadaIzabel M. Rios-Flores, Guadalajara, MexicoStephen Robertson, Dunedin, New ZealandHenry N.A. Rosenberg, Fort Lee, NJ, USAJohn A. Sayer, Newcastle upon Tyne, UKCharles E. Schwartz, Rock Hill, SC, USAKhadim Shah, Cincinnati, OH, USAKarolina M. Stepien, Salford, UKNaoto Sugeno, Sendai, JapanEvgeny Suspitsin, St. Petersburg, RussiaMarwan Tayeh, Bloomington, IN, USAAndreas Tzschach, Freiburg, GermanyAsmat Ullah, Aarhus, DenmarkLuis Umana, Dallas, TX, USANicole J. Van Bergen, Parkville, VIC, AustraliaBarbara Vona, Göttingen, GermanyAhmed Waqas, Multan, PakistanDavid Watkins, Montreal, QC, CanadaKimberly Wiltrout, Boston, MA, USAMarc Woodbury-Smith, Newcastle upon Tyne, UKRoseli Zechi-Ceide, Bauru, Brazil
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 | 0.209 |
| 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 | 0.003 |
| Scholarly communication | 0.017 | 0.011 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.254 | 0.169 |
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".