Bibliographic record
Abstract
The Editorial Office would like to express its sincere gratitude to the following reviewers for their invaluable contributions in 2024 (listed alphabetically by last name). Kerstin Taniguchi Abagge, Brazil Afroz Abidi, India Arun Achar, India Seyed-Amirabbas Ahadiat, Iran Eijiro Akasaka, Japan Ebraheem Albazee, Jordan Aaliya Ali, India Omer Qutaiba B. Allela, Iraq Ruaa Ahmed Alnour, China Manahel Mahmood Alsabbagh, Bahrain Vania Nikolaeva Anastasova, Bulgaria T. M. Anoop, India Abdul Wahid Ansari, India Mateus Dias Antunes, Brazil Sudheer Arava, India Marco Ardigo, Italy Daniel Asz-Sigall, Mexico Azin Ayatollahi, Iran Erhan Ayhan, Turkey Alise Balcere, Latvia Cristina Beiu, Romania Volodymyr Volodymyrovych Bezruk, Ukraine Jules Rimet Borges, Brazil Murat Borlu, Turkey Juliana Boza, Brazil Ivan A. Bratchenko, Russian Federation Valeria Brazzelli, Italy Maksym Breslavets, Canada Marcos Leal Brioschi, Brazil Marcin Brown, Portugal Yonghao Cao, United States Simone Cappilli, Italy Yuri I Lopez Carrera, Mexico Andrea Carugno, Italy Ivan Cherrez-Ojeda, Ecuador Giulia Ciccarese, Italy John Lennon Silva Cunha, Brazil Sahar Dadkhahfar, Iran Marissa D’Alonzo, United States Sevana Daneghian, Iran Recep Demirbag, Turkey Maximilian Deußing, Germany Tarak Dhaouadi, Tunisia Xiao-Lei Ding, Germany Bilal Dogan, Turkey Ottavia D’Oria, Italy Xu-Feng Du, China Amira Abulfotooh Eid, Egypt Mohammed Abu El-Hamd, Egypt Mohamed El-Komy, Egypt Cagri Ergin, Turkey Hossein Esmaeilzadeh, Iran Sheng Fang, China Gustavo Vicentis Oliveira Fernandes, United States Deepani D. Fernando, Australia Monika Fida, Albania Sylvie Fraitag, France Yu Fu, China Tomoko Fujimoto, Japan Mohamed gaballa, Egypt Ravindra Kumar Garg, India Shienty Gaspersz, Indonesia Yi-Ping Ge, China Martin Gebel, Germany Valentina Giudice, Italy Choon Fu Goh, Malaysia Amr Gohar, Egypt Maryam Golparvaran, Iran Xiang-Dong Gong, China Kannan Gopalan, India Denis de Graaf, Germany Sergei A. Grando, United States Axel De Greef, Belgium Wei-Nan Guo, China Anshul Gupta, India Teppei Hagino, Japan Przemysław Hałasiński, Poland Caroline Halverstam, United States Takahiro Hamada, Japan Eckart Haneke, Germany Fei Hao, China Md Ariful Haque, Bangladesh Kenji Hashimoto, Japan Ingibjorg Hilmarsdóttir, Iceland Xiang Hong, China Matthew Hrin, United States Yi-Fan Hu, China Peng Huang, China SF Ibrahim, United States Huseyin Inaloz, Turkey Francis S. Iyama, Nigeria Ki-Heon Jeong, Korea Anil Jha, Nepal Dan Jian, China Hiram de Almeida Jr, Germany Chandrasekaran Kaliaperumal, United Kingdom Yuji Kan, Japan Naoko Kanda, Japan Emmanouil Karampinis, Greece Azar Shirzadian Kebria, Iran Lucinda Kohn, United States M. P. Konstantinou, France Piotr K. Krajewski, Poland Karolline Krambeck, Portugal Ozlem Su Kucuk, Turkey YADALLA Kumar, India Himanshu Kumar, Singapore Tsz Ho Kwan, Hong Kong, China M. Lai, Italy Mark G Lebwohl, United States C.H. Lee, China Tang Lei, China Jorge Esquiche Leon, Brazil Wahyu Lestari, Indonesia Ding Li, China Kai Li, China Jing Li, China Xiao-Li Li, China Xiao-Chun Liu, China Xiao-Yan Liu, China Xiao Long, China Jia-Liang Luo, China Le-Chun Lyu, China Carla Jorge Machado, Brazil Muhammad N Mahmood, Canada Khalid Mahmood, Pakistan Mao-Qiang Man, China Liana Manolache, Romania Li-Li Mao, China F. Martora, Italy Mimi Maulida, Indonesia Sidharth Mehan, India Anna C. Miola, Brazil Noha Mohamad, Egypt Liza Mohapatra, India Alejandro Molina-Leyva, Spain Himel Mondal, India Trinidad Montero-Vilchez, Spain Daichi Morioka, Japan Qi-Ri Mu, China Olivier Mukuku, Congo Beatrice Nardone, United States Maryam Nasimi, Iran Rancic K. Natasa, Serbia Francisco José Navarro-Triviño, Spain Shumaila Naz, Pakistan Anna-Lisa Nguyen, Canada Xiao Ni, United States Maria Booth Nielsen, Denmark Jannie Nørlev, Denmark Caroline Oktarina, Indonesia Engin Alp Onen, Turkey Janine Audrei T. Pajimna, Philippines Monica Păun, Romania J. Klint Peebles, United States Mauro Picardo, Italy Indrashis Podder, India Dimitri Poddighe, Kazakhstan Christine Podrini, Malta Sunnapu Prasad, India Philip D. Prewett, United Kingdom Prajwal Pudasaini, Nepal Swati Pundir, India Basant Puri, United Kingdom Kowsar Qaderi, Iran Maha H. Ragaie, Egypt Li-Wei Ran, China Ranthilaka Ranawaka, Sri Lanka Seema Rani, India Bassam Abdul Hassan Rasool, Iraq Shaharior Rahman Razu, Australia Adam Reich, United States Pawinee Rerknimitr, Thailand Matthew Rochester, United States Catarina Rosado, Portugal Angelo Ruggiero, Italy Filomena Russo, Italy Tani Sagna, Senegal Akanksha R. Sanghvi, United Kingdom Serdar Saritas, Trukey Antonio Scarano, Italy Dipayan Sengupta, India Anil Kumar Sharma, India Olga Shchagina, Russia Chang-Bing Shen, China Farooq Sher, United Kingdom Xin Shi, China Saeideh Sadat Shobeiri, Iran Tie-Jun Shui, China Rahul Shukla, Niper Xiu-Zu Song, China Gustavo Torres de Souza, Spain Federica Di Spirito, Italy Debjeet Sur, India M. Tedesco, Italy Selami Aykut Temiz, Turkey Alessandro Terrinoni, Italy Shankar Thangamani, United States Simon Thornley, New Zealand Zeynep Topkarci, Turkey Emanuele Trovato, Italy Thu M. Truong, United States Yoshikazu Uchida, United States Shoban Babu Varthya, India Mallikarjun Vasam, India Giau Van Vo, Viet Nam Glauber Voltan, Brazil Tao Wang, China Rui-Ping Wang, China Fang Wang, China Ying-Han Wang, China Da-Guang Wang, China Fang Wang, China Feng Wang, China Hong-Sheng Wang, China Lei Wang, China Wen-Hui Wang, China Xian-Long Wang, China Bo Wang, United States Antonia Wiala, Austria Marion L. Woods, Australia Di Wu, China Rong Xiao, China Yao Xiao, China Xin Xie, China Qiu-Yan Xu, China Yang Xu, China Zi-Gang Xu, China Yan Yan, China Kun Yang, China Derya Yapar, Turkey Serkan Yazici, Turkey Satya Yenny, Indonesia Xing-Ping Yin, China Xiao-Jin Yu, China Cheng-Da Yuan, China Haider Hashim Zalzala, Iraq Anissa Zaouak, Tunisia Corrado Zengarini, 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 | 0.195 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.124 | 0.087 |
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".