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Record W1991920277 · doi:10.1080/1566097042000265782

The risk of injury and vehicle damage in vehicle mismatched crashes

2005· article· en· W1991920277 on OpenAlexaff
Ediriweera Desapriya, Mary L. Chipman, Pamela Joshi, Ian Pike

Bibliographic record

VenueInternational Journal of Injury Control and Safety Promotion · 2005
Typearticle
Languageen
FieldMedicine
TopicAutomotive and Human Injury Biomechanics
Canadian institutionsToronto Public HealthUniversity of TorontoPublic Health OntarioSpinal Cord Injury BCUniversity of British Columbia
Fundersnot available
KeywordsPoison controlInjury preventionOccupational safety and healthHuman factors and ergonomicsSuicide preventionEngineeringVehicle safetyMotor vehicle crashForensic engineeringAutomotive engineeringTransport engineeringMedical emergencyAeronauticsMedicine

Abstract

fetched live from OpenAlex

"The risk of injury and vehicle damage in vehicle mismatched crashes." International Journal of Injury Control and Safety Promotion, 12(3), pp. 191–192 Acknowledgements The vehicle mismatch crash investigation in BC is partly supported by funding from the Networks of Centers of Excellence funded Auto 21 project.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.802
Threshold uncertainty score0.299

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.007
GPT teacher head0.266
Teacher spread0.259 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations7
Published2005
Admission routes1
Has abstractyes

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