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Record W2109716894 · doi:10.1016/j.pmrj.2013.02.012

Consensus Statement on Concussion in Sport—The 4th International Conference on Concussion in Sport Held in Zurich, November 2012

2013· article· en· W2109716894 on OpenAlexaff
Paul McCrory, Willem Meeuwisse, Mark Aubry, Robert C. Cantu, Jiří Dvořák, Ruben J. Echemendía, Lars Engebretsen, Karen M. Johnston, Jeffrey S. Kutcher, Martin Raftery, Allen K. Sills, Brian W. Benson, Gavin A Davis, Richard Ellenbogen, Kevin M. Guskiewicz, Stanley A. Herring, Grant L. Iverson, Barry D. Jordan, James Kissick, Michael McCrea, Andrew S. McIntosh, David Maddocks, Michael Makdissi, Laura Purcell, Margot Putukian, Kathryn Schneider, Charles H. Tator, Michael S. Turner

Bibliographic record

VenuePM&R · 2013
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsKrembil FoundationParachuteOntario Neurotrauma FoundationCanadian Armed ForcesPolicyWise for Children & FamiliesMcMaster UniversityMcMaster University Medical CentreCentre for Advancing Health OutcomesToronto Western HospitalUniversity of British ColumbiaMcGill UniversityMcGill University Health CentreUniversity of OttawaSouth Health CampusAthletic Edge Sports MedicineAlberta Children's HospitalCanadian Institutes of Health ResearchUniversity of TorontoSafran Electronics (Canada)University of Calgary
FundersAustralian Research CouncilInstitut Ruđer BoškovićAustralian Football League
KeywordsConcussionStatement (logic)MedicinePhysical therapyPhysical medicine and rehabilitationAeronauticsMedical emergencyInjury preventionPoison controlEngineeringPolitical scienceLaw

Abstract

fetched live from OpenAlex

Peer Reviewed

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.085
metaresearch head score (Gemma)0.099
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.085
Threshold uncertainty score0.448

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0850.099
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.008
Bibliometrics0.0060.004
Science and technology studies0.0050.003
Scholarly communication0.0060.004
Open science0.0100.009
Research integrity0.0260.023
Insufficient payload (model declined to judge)0.0080.006

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 head0.079
GPT teacher head0.372
Teacher spread0.293 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations882
Published2013
Admission routes1
Has abstractyes

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Same venuePM&RSame topicTraumatic Brain Injury ResearchFrench-language works237,207