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Record W2129710106 · doi:10.1136/bjsm.36.1.6

Summary and agreement statement of the first International Conference on Concussion in Sport, Vienna 2001

2002· review· en· W2129710106 on OpenAlexafffund
Mark Aubry, Robert C. Cantu, Jiří Dvořák, Toni Graf-Baumann, Karen Johnston, James P. Kelly, Melanie Lovell, Paul McCrory, Willem Meeuwisse, Patrick Schamasch

Bibliographic record

VenueBritish Journal of Sports Medicine · 2002
Typereview
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of CalgaryMontreal General Hospital
FundersMcGill University Health CentreUniversity of PittsburghInternational Olympic CommitteeMcGill UniversityNorthwestern University
KeywordsFootballAttendanceConcussionGrading (engineering)Medical educationPosition statementMedicinePsychologyPolitical sciencePhysical therapyEngineeringFamily medicinePoison controlInjury preventionMedical emergencyLaw

Abstract

fetched live from OpenAlex

Assessment and Research Centre (FIFA, F-MARC), and the International Olympic Committee Medical Commission (IOC).

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)0.009
metaresearch head score (Gemma)0.020
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: Review · Consensus signal: Review
Teacher disagreement score0.035
Threshold uncertainty score0.118

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.020
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0070.007
Science and technology studies0.0010.001
Scholarly communication0.0040.003
Open science0.0040.003
Research integrity0.0070.004
Insufficient payload (model declined to judge)0.0350.016

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 head0.113
GPT teacher head0.380
Teacher spread0.267 · 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
GenreReview

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

Citations745
Published2002
Admission routes2
Has abstractyes

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