Bibliographic record
Abstract
The editors and Karger Publishers would like to thank the following reviewers for the ongoing support in reviewing manuscripts for Dementia and Geriatric Cognitive Disorders:Jon Arild Aakre, Stavanger, NorwayRebecca E. Amariglio, Boston, MA, USANadjia Amini, Leuven, BelgiumBritt Appelhof, Nijmegen, The NetherlandsMohammad Reza Asadi, Tehran, IranAnna Rita Atti, Bologna, ItalyRobert C. Barber, Fort Worth, TX, USAEce Bayram, Aurora, CO, USAB. Lynn Beattie, Vancouver, BC, CanadaMurat Bektas, Izmir, TurkeyMuhammed Yunus Bektay, Istanbul, TurkeyWilla D. Brenowitz, Portland, OR, USAMarius Butz, Bad Nauheim, GermanyMarina Cavuoto, Melbourne, VIC, AustraliaKarolina César, São Paulo, BrazilKimberly R. Chapman, Providence, RI, USAPratishtha Chatterjee, Sydney, NSW, AustraliaFrances Chung, Toronto, ON, CanadaJose Aparecido Da Silva, Ribeirao Preto, BrazilPricilla de Almeida Moreira, Salvador, BrazilRenato Gorga Bandeira de Mello, Porto Alegre, BrazilCarol Dobson-Stone, Camperdown, NSW, AustraliaRatnavalli Ellajosyula, Bangalore, IndiaJulie L. Ellis, Milwaukee, WI, USARosemary Fama, Stanford, CA, USAMolla Fentanew, Gondar, EthiopiaJames R. Fletcher, London, UKSarah Floud, Oxford, UKCherrie Galletly, Adelaide, SA, AustraliaKarla Garcia-Pelagio, Mexico City, MexicoDejan Georgiev, Ljubljana, SloveniaAndrew Grant, Sydney, NSW, AustraliaDanielle Greaves, Adelaide, SA, AustraliaRenée C. Groechel, Boston, MA, USAAlexandru Hanganu, Montreal, QC, CanadaRobert Hoerr, Karlsruhe, GermanyGuoqing Hu, Changsha, ChinaChenggang Hua, Bloomington, IN, USATemmei Ito, Tokyo, JapanNiels Janssen, Maastricht, The NetherlandsSangha Jeon, Irvine, CA, USAPallavi Joshi, Phoenix, AZ, USAPierre Jouvelot, Paris, FranceJinsei Jung, Seoul, Republic of KoreaHideki Kanemoto, Suita, JapanNavin Kaushal, Indianapolis, IN, USADerya Kaya, Izmir, TurkeyHanna Kerminen, Tampere, FinlandWoo Jung Kim, Yongin, Republic of KoreaSükrü Alperen Korkmaz, Merkez, TurkeyAnna M. Kucharska-Newton, Chapel Hill, NC, USAMichael C.C. Kuo, Hong Kong, ChinaAndrew J. Larner, London, UKJiangping Li, Yinchuan, ChinaHai Li, Hefei, ChinaTzu-Yu Lin, Kaohsiung, TaiwanIan R. Macdonald, Halifax, NS, CanadaAlireza Majdi, Leuven, BelgiumShumai Man, Cleveland, OH, USAChan Yee Mang, Shah Alam, MalaysiaSimon Mead, London, UKMaddison L. Mellow, Adelaide, SA, AustraliaAkira Midorikawa, Tokyo, JapanMasaki Mogi, Ehime, JapanC. Munro, Cambridge, MA, USARüstem Mustafaoglu, Istanbul, TurkeyNaoki Nakaya, Saitama, JapanTze-Pin Ng, Singapore, SingaporeRicardo Nitrini, São Paulo, BrazilArmin Nowroozpoor, Lincoln, NE, USAClaire O’Callaghan, Camperdown, NSW, AustraliaDorota Olex-Zarychta, Katowice, PolandJose F. Parodi, La Molina, PeruLucas Nogueira de Carvalho Pelegrini, São Paulo, BrazilTommaso Piccoli, Palermo, ItalyQirong Qin, Anhui, ChinaAhmed M. Radwan, Leuven, BelgiumAlberto R. Ramos, Miami, FL, USAP. Hemachandra Reddy, Lubbock, TX, USAMaria Rosaria Rizzo, Naples, ItalyAlexandra Roach, Aiken, SC, USAFrancisca Rodriguez, Greifswald, GermanyPaul B. Rosenberg, Baltimore, MD, USAMaira Rozenfeld Olchik, Porto Alegre, BrazilSuraj Samtani, Sydney, NSW, AustraliaToru Satoh, Hiroshima, JapanPaulo Adriano Schwingel, Petrolina, BrazilLi Shasha, Huzhou, ChinaTe-Chun Shen, Taichung, TaiwanHitoshi Shimada, Niigata, JapanFrank Spichiger, Fribourg, SwitzerlandPildoo Sung, Singapore, SingaporeMorag E. Taylor, Sydney, NSW, AustraliaPaula Trzepacz, Indianapolis, IN, USAPo-Heng Tsai, Phoenix, AZ, USAShuichi Ueno, Toon, JapanJames C. Vickers, Hobart, TAS, AustraliaAmelia Nur Vidyanti, Yogyakarta, IndonesiaAhmad Wali, Quetta, PakistanJohannes Wancata, Vienna, AustriaChanghong Wang, Shenzen, ChinaYafei Wu, Xiamen, ChinaYu-Tao Xiang, Taipa, ChinaChun Xu, Brownsville, NY, USAToru Yamashita, Okayama, JapanBetül Gülsüm Yavuz Veizi, Ankara, TurkeyBing Ye, Toronto, ON, CanadaRensong Yue, Chengdu, ChinaRihui Zhang, Wuhan, ChinaEmma Zhao, Sydney, NSW, Australia
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 | 0.024 | 0.252 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.019 | 0.011 |
| Open science | 0.006 | 0.008 |
| Research integrity | 0.007 | 0.009 |
| Insufficient payload (model declined to judge) | 0.283 | 0.202 |
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".