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Record W2235213813 · doi:10.1186/s40634-015-0036-y

Acknowledgement to reviewers 2014/2015

2016· article· en· W2235213813 on OpenAlex
Henning Madry

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

VenueJournal of Experimental Orthopaedics · 2016
Typearticle
Languageen
FieldMedicine
TopicHealth and Medical Research Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsLibrary scienceHumanitiesPolitical scienceHistoryArt

Abstract

fetched live from OpenAlex

The Journal of Experimental Orthopaedics is very fortunate to have excellent reviewers who kindly agree and spend their time reviewing manuscripts for the journal. Our reviewers work hard to ensure a rapid, rigorous and fair peer review process of each manuscript. Such peer review, focusing solely on the scientific integrity to determine the quality of the research submitted, is very critical to the success of our young journal. I wish to thank very much those reviewers who provided their time and expertise in evaluating manuscripts for the Journal of Experimental Orthopaedics in 2014/2015. Sincerely, Henning Madry Editor in Chief Reviewers 2014/2015 Ashraf Abdelkafy, Ismailia, Egypt Roy Altman, Los Angeles, United States of America Olufemi Ayeni, Hamilton, Canada Magali Cucchiarini, Homburg, Germany Nikica Darabos, Zagreb, Croatia Laura De Girolamo, Milan, Italy Patricia Diaz Rodriguez, Troy, United States of America Sabrina Ehnert, Tubingen, Germany Muhammad Farooq Rai, St Louis, United States of America Liang Gao, Homburg, Germany Alan Getgood, Cambridge, United Kingdom Lars Goebel, Homburg, Germany Enrique Gomez-Barrena, Madrid, Spain Tobias Gotterbarm, Heidelberg, Germany Sibylle Grad, Davos, Switzerland Farshid Guilak, Durham, United States of America Alan Hargens, San Diego, United States of America Emily Hu, Palo Alto, United States of America Clark Hung, New York, United States of America Christof Hurschler, Hannover, Germany Tao Ke, Homburg, Germany Tomonori Kenmoku, Kanagawa, Japan Clemens Koesters, Munster, Germany Elizaveta Kon, Bologna, Italy Sebastian Kopf, Berlin, Germany Alexis Lion, Luxembourg, Luxembourg Christopher Little, St Leonards, Australia Punyawan Lumpaopong, Phitsanulok, Thailand Marina Macias-Silva, Mexico D. F., Mexico Laurent Malisoux, Luxembourg, Luxembourg Hermann Mayr, Munchen, Germany Babak Moradi, Heidelberg, Germany Caroline Mouton, Strassen, Luxembourg Jason Mussell, New Orleans, United States of America Koichi Nakagawa, Sakura-shi, Chiba, Japan Norimasa Nakamura, Osaka, Japan Sven Nebelung, Aachen, Germany Geoffroy Nourissat, Paris, France Patrick Orth, Homburg, Germany Dietrich Pape, Luxembourg, Luxembourg Stephen Parada, Fort Gordon, United States of America Silvia Pianigiani, Milan, Italy Bernd Rolauffs, Tubingen, Germany Claudio Rosso, Basel, Switzerland Ryan Rubin, New Orleans, United States of America Gian Salzmann, Zurich, Switzerland Jose Sanhudo, Porto Alegre, Brazil John Segreti, Chicago, United States of America Romain Seil, Luxembourg, Luxembourg Lori Setton, Durham, United States of America Lazar Sijak, Belgrade, Serbia Daniel Theisen, Luxembourg, Luxembourg Jordan Trafimow, Chicago, United States of America Ronald van Heerwaarden, Woerden, The Netherlands Francesca Vannini, Bologna, Italy Peter Verdonk, Antwerp, Belgium William Walsh, Randwick, 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.

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)0.002
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient 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 score0.233
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.012
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)0.0020.001

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 head0.100
GPT teacher head0.459
Teacher spread0.358 · 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