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Record W4312365183 · doi:10.1055/s-0042-1742552

Reviewers for the 2022 IMIA Yearbook of Medical Informatics

2022· article· en· W4312365183 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueYearbook of Medical Informatics · 2022
Typearticle
Languageen
FieldMedicine
TopicHealthcare Systems and Public Health
Canadian institutionsnot available
Fundersnot available
KeywordsYearbookLicenseCopyingComputer scienceLibrary sciencePolitical scienceLawOperating system

Abstract

fetched live from OpenAlex

Xavier Aimé, France Sameer Antani, USA Marcy Antonio, USA Marta Avalos, France Ziad Bakouny, USA Adeola Bamgboje-Ayodele, Australia Panagiotis Bamidis, Greece Melissa Baysari, Australia Patrice Bellot, France Arriel Benis, Israel Nils-Hendrik Benning, Germany Jiang Bian, USA Andrew Boyd, USA Tiffany Bright, USA Mathias Brochhausen, USA David Buckeridge, Canada Alex Bui, USA William Bush, USA Kevin Bretonnel Cohen, USA Trevor Cohen, USA Mike Conway, USA Sebastien Cossin, France Karen Courtney, Canada Nicolette de Keizer, Netherlands Spiros Denaxas, UK Kerstin Denecke, Switzerland Claire Dixon-Lee, USA Catherine Duclos, France Linda W.P. Dusseljee-Peute, Netherlands Jan Egger, Austria Frederic Ehrler, Switherland Urs Eisenmann, Germany Peter Elkin, USA Hossein Estiri, USA Susan Fenton, USA Xose Fernandez, France Luis Fernandez Luque, USA Vasiliki Foufi, Switzerland Olivier Français, France Elia Gabarron, Norway Andrea Ganna, Finland Thomas Gansland, Germany James Geller, USA Dario Ghersi, USA Yang Gong, USA Kenneth Goodman, USA Rebecca Grainger, New Zealand Kathleen Gray, Australia Maria Hägglund, Sweden Thierry Hamon, France Ailish Hannigan, Ireland Reema Harrison, Australia Zhe He, USA Mathijs Hendriks, Netherlands Harry Hochheiser, USA Ralf Hofestädt, Germany Felix Holl, Germany A Jay Holmgren, USA Shannon Houser, USA Jianying Hu, USA Zhengxing Huang, China Lukas Huber, Austria Jake Hughey, USA Josef Ingenerf, Germany Trevor Jamieson, Canada Marie-Christine Jaulent, France Qiao Jin,China Charles Kahn, USA A.H. Klann, USA Dimitrios Kokkinakis, Sweden Polina Kukhareva, USA Craig Kuziemsky, Canada Antoine Lamer, France Taro Langner, Sweden Thierry Lecroq, France Harold Lehmann, USA Jan Liebe, Germany Frank Lin, Australia Gaelle Lissorgues, France Lian Liu, USA Siru Liu, USA Judith R. Logan, USA Nancy Lorenzi, USA Gang Luo, USA Nadia Madaoui, France Brad Malin, USA Marie-France Mamzer-Brunel, France Romaric Marcilly, France Luis Marco-Ruiz, Norway Catalina Martínez Costa, Austria Allison B. McCoy, USA Sejal Mistry, USA Hans Moen, Finland Pattanasak Mongkolwat, Thailand Aude Motulsky, Canada Henning Müller, Switzerland Sahiti Myneni, USA Renate Nantschev, Austria Pantelis Nantsiavas, Greece Aurélie Névéol, France Zahra Niazkhani, Iran Lisa-Maria Norz, Austria Stacy O‘Connor, USA Silvia Paddock, Switzerland Louise Pape-Haugaard, Denmark Antoine Pariente, France Albert Park, USA Emily Patterson, USA Sylvia Pelayo, France Carolyn Petersen, USa Linda Peute, Netherlands Bernhard Pfeifer, Austria David Pieczkiewicz, USA Andrea Pinna, France Habibollah Pirnejad, Iran Monika Pobiruchin, Germany Protiva Rahman, USA Jean Louis Raisaro, Switzerland Sivarama Krishnan Rajamaran, USA Bastien Rance, USA Alan Rector, UK Tom Reese, USA Christoph Rinner, Austria Octavio Rivera, Spain Peter Robinson, USA Alejandro Rodriguez, Spain Jorge Rodriguez, USA Laritza Rodriguez, USA S. Trent Rosenbloom, USA Lipika Samal, USA Cécilia Samieri, France Kaija Saranto, Finland Neil Sarkar, USA Stefan Schulz, Austria Marco Schweitzer, Austria Erez Shalom, Israel Chaitanya Shivade, USA Franco Simini, Uruguay Dean Sittig, USA Malika Smail-Tabbone, France Min Song, South Korea Qianqian Song, USA Sarvesh Soni, USA Brett South, USA Catherine J. Staes, USA Tanja Stamm, Austria Cui Tao, USA Cori Thompson, Canada Kim Unertl, USA Cetin Urtis, USA Pierre-Yves Vandenbussche, Netherlands Hans Vanderschaaf, USA Tiffany Veinot, USA Karin Verspoor, Australia Joshua R. Vest, USA Shyam Visweswaran, USA Zhiyu Wan, USA Amy Wang, UAS Yanshan Wang,USA Martin Were, USA Karmen Williams, USA Alfred Winter, Germany Hua Xu, USA Chao Yan, USA Kathleen Yin, Australia Nathan Yung, USA Ghada Zamzmi, USA Tingtin Zhu, UK Publication History Article published online: 04 December 2022 © 2022. IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/) Georg Thieme Verlag KG Rüdigerstraße 14, 70469 Stuttgart, Germany

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.

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)0.011
metaresearch head score (Gemma)0.002
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: none
Teacher disagreement score0.452
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.048
GPT teacher head0.379
Teacher spread0.331 · 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