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Record W4393254549 · doi:10.1097/jd9.0000000000000381

Acknowledgments

2024· article· en· W4393254549 on OpenAlexaboutno aff

Bibliographic record

VenueInternational Journal of Dermatology and Venereology · 2024
Typearticle
Languageen
FieldEngineering
TopicHuman auditory perception and evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The IJDV Editorial Office thanks the following reviewers for their contributions in 2023. Kerstin Taniguchi Abagge, Brazil A. Abdelmaksoud, Egypt Sherief Abd-Elsalam, Egypt Hamed Mohamed Abdo, Egypt Pati Aji Achdiat, Indonesia Naglaa Fathi Agamia, Egypt Hesham Ahmad, Egypt Sevgi Akarsu, Turkey Khalid Al Hawsawi, Saudi Arabia Ebraheem Albazee, Kuwait Vinicius G. P. Albernaz, Brazil Mohammad Daud Ali, Saudi Arabia Fatimah Almuqarrab, Saudi Arabia Hussein M. Alshamrani, Saudi Arabia Diala M Alshiyab, Jordan Ik Altunay, Turkey Balachandra Ankad, India O Arican, Turkey Kurt A. Ashack, United States Amany Awad, Egypt Arghavan Azizpour, Islamic Republic of Iran Anna Baran, Poland Luigi Bennardo, Italy Thais Zamboni Berra, Brazil Natalie Bordag, Austria Valeria Brazzelli, Italy Jaroslaw Bryda, Poland Flavio A. Cadegiani, Brazil Laura Calabrese, Italy Yi Cao, China Jesus Alberto Cardenas-De La Garza, Mexico Yuri I Lopez Carrera, Mexico Mara Carsote, Romania Raluca Amalia Ceausu, Romania Jarmila Čelakovská, Czech Republic Alexandra Charrow, United States Mu-Hong Chen, China Qing Chen, China Xiaohua Chen, China Ellie Choi, Singapore Om Choudhary, India Erle Dang, China Axel De Greef, Belgium Morteza Dejam, United States Samer A. Dhaher, United States Sameh Fayek Gamalel Din, Egypt Mitesh Dwivedi, India Amira Abulfotooh Eid, Egypt Mohammed Abu El-Hamd, Egypt Maha Fathy Elmasry, Egypt Khaled Elsayad, Germany Ashley Elsensohn, United States Hande Erman, Turkey Reham Essam, Egypt Sheng Fang, China Navarro-Triviño FJ, Spain Alan B. Fleischer Jr, United States Regina Fölster-Holst, Germany Meng Fu, China Mohamed Gaballa, Egypt Teck Sheng Gan, Malaysia Maria T. Garcia-Romero, Mexico Maria Jose Guimaraes, United States Asma Gul, Pakistan Wayne Gulliver, Canada Adawiya J. Haider, Iraq Frank R. Halfwerk, Netherlands Mervat Hamdino, Egypt Nasrin Hamidizadeh, Islamic Republic of Iran Mohammad Salem Hareedy, Egypt Arshad Hasan, Pakistan Cs Hau, Japan Shujiro Hayashi, Japan Yohei Hirai, Japan Yasuhiro Horiuchi, Japan Hassan Ibrahim, Egypt Ryotaro Ishii, United States Md. Aminul Islam, Bangladesh Madiha El Jazouly, Morocco Yi Ji, China Faxing Jiang, China Xian Jiang, China Qing-Qing Jiao, China Anthony Karpouzis, Greece Dilek Kaya-Akyüzlü, Turkey Ziad Khamaysi, Israel Fatema Abdulwahab Khamdan, Bahrain Aejaz A. Khan, Saudi Arabia Sher Khan, Pakistan Fathia Khattab, Egypt Amit Khurana, Germany Kihun Kim, Republic of Korea Himanshu Kumar, Singapore Marcin Kurowski, Poland Soon-Hyo Kwon, Republic of Korea Mark G Lebwohl, United States Dong-Sheng Li, China Jing Li, China Xin-Yu Li, China Yun-Sheng Liang, China Gaetano Licata, Italy Noureddine Litaiem, Tunisia Li-Li Liu, China Na Liu, China Xiao Long, China Carla Jorge Machado, Brazil Luiz Fernando Almeida Machado, Brazil Hamidreza Mahmoudi, Islamic Republic of Iran Karsten Mahnke, Germany Mao-Qiang Man, United States Suchana Marahatta, Nepal Maurizio Margaglione, Italy Kevin Martin, United Kingdom Kana Masuda-Kuroki, Japan Marco Matucci-Cerinic, Italy Gerald Mboowa, Uganda Mahmut Sami Metin, Turkey J. P. Meza-Espinoza, Mexico Vijaya Nath Mishra, India Asadollah Mohammadi, Islamic Republic of Iran Himel Mondal, India Nikoo Mozafari, Islamic Republic of Iran Dong Ho Nahm, Republic of Korea Noriko Nakamura, United States Robertha Nakamura, Brazil B. N. Namratha, India Jochanan Naschitz, Israel Iria Neri, Italy Haruto Nishida, Japan Arvind Nune, United Kingdom Byungho Oh, Republic of Korea Ko Okumura, Japan Shaimaa I. Omar, Egypt Engin Alp Onen, Turkey Nahide Onsun, Turkey Alex G Ortega Loayza, United States Agnieszka Owczarczyk-Saczonek, Poland Keiji Ozeki, Japan Xiaochuan Pan, China Manoj Pawar, India Filiz Namdar Pekiner, Turkey Mauro Picardo, Italy Fulvia Pimpinelli, Italy Indrashis Podder, India Dimitri Poddighe, Kazakhstan Beata Polkowska-Pruszyńska, Poland Jian-Jun Qiao, China Seema Rani, India Sudesh Rani, India Santoshdev Pitamber Rathod, India Adam Reich, Poland Gabriela Ribeiro, Brazil Matteo Riccò, Italy Angelo Ruggiero, Italy Indranil Saha, India Yasin Sahin, Turkey Ozge Soyer, Turkey Frieder Schaumburg, Germany Jan W. Schoones, Netherlands Aninda Sen, India Mallika Sengupta, India Eylem Sevinc, Turkey Mona Shahriari, United States Zhenrui Shi, China Tiejun Shui, China Mariusz Sikora, Poland Anupama Singh, India Andrzej T Slominski, United States Howard Sofen, United States Saeed Mohammad Soleymani, Islamic Republic of Iran Julian Solis Garcia Del Pozo, Spain Xiu-Zu Song, China Jean-Francois Soucy, Canada Mehmet Sozen, Turkey Yuttana Srinoulprasert, Thailand Georgios N. Stamatas, France Michela Starace, Italy Remya Sudevan, India Selami Aykut Temiz, Turkey David Thein, Denmark Philippe Thompson-Leduc, Canada Daniele Torchia, United Kingdom Shalini Trivedi, India Emanuele Trovato, Italy ?Mit Türsen, Turkey Monika Turska-Kozłowska, Poland Masanobu Ueno, Japan Nirma Khatri Vadlamudi, Canada O Vanakker, Belgium Iswariya Venkataraman, United States Glauber Voltan, Brazil Yahya Wahba, Egypt Da-Guang Wang, China Tao Wang, China Wei Wang, China Xiu-Li Wang, China Yuko Watanabe, Japan Slawomir Watroba, Poland Caradee Yael Wright, South Africa Ping Xia, China Jin-Hua Xu, China Serkan Yazici, Turkey Oriol Yélamos, United States Fan Yi, China Bo Yu, China Xiao-Jin Yu, China Dong-Shu Zhang, China En-Ming Zhang, China Wei Zhang, China Yan-Fei Zhang, China Yi-Ming Zhang, China Guo-Wei Zhao, China Jing-Jun Zhao, China Bing-Rong Zhou, China Liang-Jia Zhou, China Ying Zhou, China

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.282
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.011
GPT teacher head0.287
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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