Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for their ongoing support in reviewing manuscripts for Stereotactic and Functional Neurosurgery:Rushna Ali, Rochester, MN, USAFaisal Alotaibi, Riyadh, Saudi ArabiaRon L. Alterman, Boston, MA, USAPablo Andrade, Cologne, GermanyJosue Avecillas-Chasin, Omaha, NE, USAArturo Avendaño-Estrada, Mexico City, MexicoAnne Balossier, Marseille, FranceGordon H. Baltuch, New York, NY, USAJames Baumgartner, Orlando, FL, USAOliver Bichsel, Zurich, SwitzerlandSarah Kathleen Bick, Nashville, TN, USAPatric Blomstedt, Umeå, SwedenAlexandre Boutet, Toronto, ON, CanadaKim J. Burchiel, Portland, OR, USAStephan Chabardes, La Tronche, FrancePoodipedi Sarat Chandra, New Delhi, IndiaCletus Cheyuo, Toronto, ON, CanadaVolker Arnd Coenen, Freiburg, GermanyRobert J. Coffey, Thousand Oaks, CA, USARebeca Conde-Sardón, Valencia, SpainG. Rees Cosgrove, Boston, MA, USATerry Coyne, Brisbane, QLD, AustraliaArthur Cukiert, Sao Paulo, BrazilEmmanuel Cuny, Bordeaux, FranceBenjamin Davidson, Toronto, ON, CanadaEmmanuel De Schlichting, La Tronche, FranceDirk DeRidder, Dunedin, New ZealandChristian Dorfer, Vienna, AustriaParesh K. Doshi, Mumbai, IndiaNico Enslin, Cape Town, South AfricaLóránd Erőss, Budapest, HungaryAlfonso Fasano, Toronto, ON, CanadaOliver Flouty, Tampa, FL, USAAnton Fomenko, Toronto, ON, CanadaAndrea Franzini, Rozzano, ItalyJürgen Germann, Toronto, ON, CanadaEnrico Ghizoni, Campinas, BrazilAntónio Gonçalves-Ferreira, Lisbon, PortugalLain Hermes Gonzalez-Quarante, Pamplona, SpainCristina Gonzalez-Robles, London, UKMarc Guenot, Lyon, FranceMohammad Mehdi Hajiabadi, Heidelberg, GermanyMarwan Hariz, Umeå, SwedenKathryn Holloway, Richmond, VA, USAChristopher R. Honey, Vancouver, BC, CanadaGeorge M. Ibrahim, Toronto, ON, CanadaYoshiyasu Iwai, Osaka, JapanMartin Jakobs, Heidelberg, GermanyLora Kahn, New Orleans, LA, USASuneil K. Kalia, Toronto, ON, CanadaMichael G. Kaplitt, New York, NY, USAKostiantyn Kostiuk, Kyiv, UkraineJoachim K. Krauss, Hannover, GermanyVibhor Krishna, Chapell Hill, NC, USABornali Kundu, Columbia, MO, USAStefan Lang, Vancouver, BC, CanadaMonica Lara-Almunia, Madrid, SpainAdrian W. Laxton, Winston-Salem, NC, USAEmily Levin, Ann Arbor, MI, USADianyou Li, Donghai, ChinaAndres M. Lozano, Toronto, ON, CanadaDavid Mathieu, Sherbrooke, QC, CanadaJoseph S. Neimat, Louisville, KY, USAJakob Nemir, Zagreb, CroatiaSelcuk Peker, Istanbul, TurkeyRichard Penn, Chicago, IL, USAFabian Cesar Piedimonte, Buenos Aires, ArgentinaGaetan Poulen, Montpellier, FranceVedantam Rajshekhar, Vellore, IndiaAhmed M. Raslan, Portland, OR, USAJean Regis, Marseille, FrancePeter Christoph Reinacher, Freiburg, GermanySheila Riazi, Toronto, ON, CanadaMichele Rizzi, Milan, ItalyKarl Roessler, Vienna, AustriaPedro Roldan, Barcelona, SpainJohn D. Rolston, Boston, MA, USAPantaleo Romanelli, Winter Park, FL, USAJordi Rumià Arboix, Barcelona, SpainBertil Rydenhag, Gothenburg, SwedenBastian Elmar Alexander Sajonz, Freiburg, GermanyTakahiro Sanada, Hempstead, NY, USAStenio Abrantes Sarmento, Joao Pessoa, BrazilFranziska A. Schmidt, Toronto, ON, CanadaMichael Schulder, Lake Success, NY, USABhavya Shah, Dallas, TX, USAMarc Sindou, Lyon, FranceKonstantin V. Slavin, Chicago, IL, USAPhilip A. Starr, San Francisco, CA, USAScellig Stone, Boston, MA, USAIdo Strauss, Tel Aviv, IsraelTakaomi Taira, Tokyo, JapanJan Vesper, Düsseldorf, GermanyArtur Vetkas, Stockholm, SwedenOsvaldo Vilela-Filho, Goiânia, BrazilTatiana von Hertwig Fernandes de Oliveira, Curitiba, BrazilHarrison C. Walker, Birmingham, AL, USALutz Martin Weise, Halifax, NS, CanadaKazuaki Yamamoto, Fujisawa, JapanTakamichi Yamamoto, Hamamatsu, JapanAndrew Yang, Phoenix, AZ, USAAndrew Z. Yang, Toronto, ON, CanadaAjmal Zemmar, Louisville, KY, USALudvic Zrinzo, London, UK
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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 | 0.018 | 0.186 |
| 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 | 0.002 |
| Scholarly communication | 0.018 | 0.011 |
| Open science | 0.005 | 0.008 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.297 | 0.208 |
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".