Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for the ongoing support in reviewing manuscripts for Stereotactic and Functional Neurosurgery:Ellen Air, Detroit, MI, USAHarith Akram, London, UKRushna Ali, Rochester, MI, USAFaisal Alotaibi, Riyadh, Saudi ArabiaRon L. Alterman, Boston, MA, USAPablo Andrade, Cologne, GermanyAlessandro Arduino, Turin, ItalyReiko Ashida, Bristol, UKGordon Baltuch, New York, NY, USAJuan Antonio Barcia Albarcar, Madrid, SpainAusaf Bari, Los Angeles, CA, USAYarema Bezchlibnyk, Tampa, FL, USAOliver Bichsel, Toronto, ON, CanadaJocelyne Bloch, Lausanne, SwitzerlandPatric Blomstedt, Umea, SwedenAlexandra Boogers, Leuven, BelgiumMaarten Bot, Amsterdam, The NetherlandsAlexandre Boutet, Toronto, ON, CanadaManuel G. Campos, Santiago, ChileCletus Cheyuo, Toronto, ON, CanadaDarko Chudy, Zagreb, CroatiaLaura Cif, Montferrier sur Lez, FranceVolker Arnd Coenen, Freiburg, GermanyChristopher Conner, Hartford, CT, USAG. Rees Cosgrove, Boston, MA, USAArthur Cukiert, Sao Paulo, BrazilEmmanuel Cuny, Bordeaux, FranceBenjamin Davidson, Toronto, ON, CanadaPhilippe De Vloo, Leuven, BelgiumGünther Deuschl, Kiel, GermanyParesh K. Doshi, Mumbai, IndiaRoberto Eleopra, Milan, ItalyAlbert J. Fenoy, Houston, TX, USAOliver Flouty, Tampa, FL, USAAnton Fomenko, Toronto, ON, CanadaDenys Fontaine, Nice, FranceAndrea Franzini, Rozzano, ItalyJürgen Germann, Toronto, ON, CanadaFady Girgis, Calgary, AB, CanadaMehdi Hajiabadi, Heidelberg, GermanyMarwan Hariz, Umea, SwedenPetra Heiden, Cologne, GermanyMojgan Hodaie, Toronto, ON, CanadaChristopher R. Honey, Vancouver, BC, CanadaGeorge Ibrahim, Toronto, ON, CanadaChristian Iorio-Morin, Sherbrooke, QC, CanadaYoshiyasu Iwai, Osaka, JapanMartin Jakobs, Heidelberg, GermanyBenjamin P. Jonker, Melbourne, VIC, AustraliaSuneil Kalia, Toronto, ON, CanadaMichael G. Kaplitt, New York, NY, USAJoachim K. Krauss, Hannover, GermanyVibhor Krishna, Chapel Hill, NC, USAAbhaya Kulkarni, Toronto, ON, CanadaAndrea Landi, Padua, ItalyStefan Lang, Guelph, ON, CanadaAdrian W. Laxton, Winston-Salem, NC, USAKai Lehtimäki, Tampere, FinlandVincenzo Levi, Milan, ItalyBodo Lippitz, Hamburg, GermanySimon Little, San Francisco, CA, USAJames Manfield, Oxford, UKIrene Martinez-Torres, Valencia, SpainDavid Mathieu, Sherbrooke, QC, CanadaCaio Marconato, Matias, Philadelphia, PA, USAVanessa Milano, Edison, NJ, USAZaman Mirzadeh, Phoenix, AZ, USANicola Montano, Rome, ItalyAjay Niranjan, Pittsburgh, PA, USASeong-Hyun Park, Daegu, South KoreaAndrew Parrent, London, ON, CanadaSelcuk Peker, Istanbul, TurkeyErlick Pereira, London, UKFabian Cesar Piedimonte, Buenos Aires, ArgentinaShervin Rahimpour, Salt Lake City, UT, USAJeffrey S. Raskin, Chicago, IL, USAJean Regis, Marseille, FrancePeter Christoph Reinacher, Freiburg, GermanyMichele Rizzi, Milan, ItalyPedro Roldan, Barcelona, SpainJohn D. Rolston, Boston, MA, USAPantaleo Romanelli, Milan, ItalyJoshua M. Rosenow, Chicago, IL, USAJordi Rumià Arboix, Barcelona, SpainBastian Elmar Alexander Sajonz, Freiburg, GermanyBrendan Santyr, Toronto, ON, CanadaCan Sarica, Toronto, ON, CanadaMichael Schulder, Lake Success, CA, USASameer Sheth, Houston, TX, USABen Shofty, Tel Aviv, IsraelMarc Sindou, Lyon, FranceScellig Stone, Boston, MA, USATaira Takaomi, Tokyo, JapanCristina Virginia Torres, Madrid, SpainNelleke van Wouwe, Louisville, KY, USAJan Vesper, Dusseldorf, GermanyArtur Vetkas, Tartu, EstoniaOsvaldo Vilela-Filho, Goiania, BrazilVeerle Visser-Vandewalle, Cologne, GermanyDoris D. Wang, San Francisco, CA, USAKazuaki Yamamoto, Fujisawa, JapanAtilla Yilmaz, Istanbul, TurkeyAjmal Zemmar, Louisville, KY, USAAli T. Zirh, Istanbul, TurkeyLudvic Zrinzo, London, UK
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 | 0.017 | 0.178 |
| 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 | 0.002 |
| Scholarly communication | 0.017 | 0.010 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.309 | 0.214 |
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".