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Record W3122853082 · doi:10.1097/jom.0000000000002140

Acceptable Risk of Sudden Incapacitation Among Safety Critical Transportation Workers

2021· review· en· W3122853082 on OpenAlexaff
Donald C. Sinclair, Kurt T. Hegmann, John P. Holland

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2021
Typereview
Languageen
FieldPsychology
TopicSleep and Work-Related Fatigue
Canadian institutionsNortel (Canada)
Fundersnot available
KeywordsOccupational safety and healthEnvironmental healthBusinessForensic engineeringMedicineEngineering

Abstract

fetched live from OpenAlex

OBJECTIVE: Identify a risk threshold for sudden incapacitation for safety critical positions in transportation industries supporting medical fitness for duty standards. METHODS: Systematic literature searches were performed examining acceptable risk criteria for medically related incapacitation using PubMed Central and Google Scholar databases. Websites for professional societies and national and international governmental agencies were also accessed. Article abstracts were reviewed and exhaustive searches were performed. RESULTS: International regulatory bodies have adopted definitions of acceptable risk typically with a threshold of 1% to 2% absolute risk of sudden incapacitation per annum. Several "risk-of-harm" models have been proposed that incorporate factors modulating an absolute risk constant derived from epidemiological studies. CONCLUSION: A 1% absolute annual risk of sudden incapacitation should be adopted as the threshold for determining medical fitness for duty among employees in safety critical positions in transportation industries.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.943
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.046
GPT teacher head0.369
Teacher spread0.323 · 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 designOther design
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

Citations2
Published2021
Admission routes1
Has abstractyes

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