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Record W3190937046 · doi:10.22233/9781913859039.1

Session 1: Orthopaedics

2021· book-chapter· en· W3190937046 on OpenAlexaff
Diana Soares, Matthew J. Allen, Neil J. Burton, Stephanie Mella, Richard Meeson, Helen Dirrig, Maider Murugarren, Francesco Piana, Miguel A. Solano, William R. Phipps, J. Orcajo Rincón, Josep Aisa, Andrew Tomlinson, Felipe de Vicente, Pierre Picavet, Marc Balligand, Stéphanie Claeys, Maria Potamopoulou, Gordon D. A. Brown, Richard Whitelock, Alba Rial García, Patrick Ridge

Bibliographic record

VenueBritish Small Animal Veterinary Association eBooks · 2021
Typebook-chapter
Languageen
FieldVeterinary
TopicVeterinary Orthopedics and Neurology
Canadian institutionsDiscovery Centre
Fundersnot available
KeywordsMedicineElbowOrthodonticsOrthopedic surgeryCondyleDeformitySurgery

Abstract

fetched live from OpenAlex

Oral presentations given during the BSAVA Abstract sessions 24-26 May 2021. Quantification of bone mineral density on computed tomography (CT) of the humeral condyle in Labradors with medial coronoid process disease; Computed tomographic evaluation of the non-lame French Bulldog elbow; Locking compression plate fixation of feline acetabular fractures: application, complications and long-term; A survey of orthopaedic conditions in small animal veterinary referral practice in the UK; Mechanical behaviour of the Robert-Jones Bandage under axial compression; Correlation between the insertion side of a transcondylar screw for the surgical management of humeral intracondylar fissures in dogs and the incidence of postoperative surgical site infection; Pancarpal arthrodesis and antebrachial deformity correction using 3d printed osteotomy and reduction guides and a customized titanium plate in a Toy Breed dog.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.875
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0030.000

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 head0.072
GPT teacher head0.280
Teacher spread0.208 · 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
GenreOther

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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueBritish Small Animal Veterinary Association eBooksSame topicVeterinary Orthopedics and NeurologyFrench-language works237,207