Bibliographic record
Abstract
We are thankful to all the following Reviewers who have supported the peer review process at Saudi Journal of Medicine & Medical Sciences in 2023 Abdul Kareem Mohaideen, Malaysia Abdulrahman AlTahan, KSA Abed AlLehibi, KSA Abhishek Deshpande, USA Agnès Fleury, Mexico Ahmed Badar, KSA Ahmed Mahmoud Elkerdawy, UK Ahmed Mohammedin, KSA Alessio Bellato, UK Ali Alsulihem, KSA Alperen Vural, Türkiye Amal Al Hashmi, Oman Amgad ElAgroudy, Bahrain Amjad H Wyne, USA Arindam Pramanik, UK Armen Gasparyan, UK Arumugam Somasundaram, India Benoit Mesurolle, France Bilal Chughtai, USA Carole Moubareck, UAE Charles Doarn, USA Dalal Bubshait, KSA Daniel Sitar, Canada David Petersen, USA Ebtissam Almadi, KSA Edward Chow, USA Emad Aljahdli, KSA Eman Ashour, USA Fabrizio Calliada, Italy Fadi Charchar, Australia Federico Prefumo, Italy Grani Giorgio, Italy Hafeez Ahmad, UAE Hatem Qutub, KSA Hebatullah Abdulazeem, Germany Hema Patel, USA Hossam Elshafei, KSA Hussah M Al-Buainain, KSA Jayesh Mudgal, India Jehan AlHumaid, KSA Jennifer Duffecy, USA Jenny Wilkinson, Australia Jiannis Anastasiou, USA Joshua Odendaal, UK Jui-Sheng Sun, Taiwan Kerri Novak, Canada Lorenzo Zammarchi, Italy Mahmoud Ibrahim, KSA Manisha Shrivastava, India Marcello Tonelli, Canada Marie Greally, Ireland Mark Shevlin, UK Masayuki Kitano, Japan Miquel Lozano, Spain Mohamad Hani Temsah, KSA Mohamed El Tahan, KSA Mohamed El-Shawarby, Egypt Mohamed Satti, USA Mohammad Zahidul Islam, USA Mohammed Akhtar, Qatar Mohammed Fakhry, Egypt Mohammed Madadin, KSA Mohannad Alomari, KSA Mohsen Alyami, New Zealand Mona Ismail, KSA Mousa Alharbi, KSA Mudassir Farooqui, USA Muhammad Hashim, UAE N. Chowdri, India Nandini Sethuraman, India Narmada Prasad Gupta, India Nasreldin Elhadi, KSA Neamat Hassan Abubakr, USA Olena Zimba, Ukraine Omar El Meligy, KSA Omar Obeid, Lebanon Osvaldo Mazza, Italy Paul Burgers, Netherlands Peter Schellongowski, Austria Prashant Nasa, UAE Priyadarshi Sahu, Federation of Saint Kitts and Nevis Rabindran Jermy, KSA Ram Bajpai, UK Randah Hamadeh, Bahrain Razia F Aliani, UK Rishi Agrawal, USA Samy Azer, KSA Sarah Almofty, KSA Sarah Joanne Storr, UK Satyajit Sarker, UK Seiji Yamaguchi, Japan Seraj Abualnaja, KSA Shafiq Ur Rehman, Pakistan Shakil Ahmad, KSA Shane Patman, Australia Sharada Mailankody, India Sharon Lynch, USA Suad AlAtique, KSA Susu Zughaier, Qatar Suzie Ferrie, Australia Tarek El Sharkwy, KSA Tariq AlMusawi, KSA Tarun Walia, UAE Turriziani Ombretta, Italy Verinder Sharma, Canada Vinay Kapoor, India Waleed Al Khudair, KSA Waleed Milaat, KSA Zaravinos Apostolos, Cyprus
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.043 | 0.052 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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; both teacher heads agree on what is shown here.
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".