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Record W2896154631 · doi:10.2351/1.5056580

Update on the IEC 60825-13 technical report on laser radiation measurements and the ANSI Z136.4 recommended practice for laser safety measurements for hazard evaluation

2005· article· en· W2896154631 on OpenAlexaboutno aff
Sheldon Zimmerman

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMedicine
TopicOcular and Laser Science Research
Canadian institutionsnot available
Fundersnot available
KeywordsLaser safetyLaserHazardRadiationComputer scienceReliability engineeringEngineeringNuclear engineeringOpticsPhysics

Abstract

fetched live from OpenAlex

The International Electrotechnical Commission (IEC) 60825-13 Technical Report on Laser Radiation Measurements is being prepared as a new committee draft. The group responsible for developing this Technical Report is Working Group (WG) 3 of the IEC Technical Committee 76. WG 3 membership includes representatives from Australia, Austria, Finland, Germany, Italy, Japan, Romania, Sweden, Switzerland, the United Kingdom, and the United States. IEC 60825-13 is intended to be used as a guide for making radiometric measurements of laser and LED radiation levels for comparison with the AELs and MPEs in IEC 60825-1. The American National Standards Institute (ANSI) Z136.4 Recommended Practice for Laser Safety Measurements for Hazard Evaluation has passed subcommittee and is in committee draft for vote form. Current membership working on the Z136.4 document includes the National Institute of Standards and Technology, the Food and Drug Administration, the Department of Defense, Industry, Professional Societies, the Canadian Department of Defense, and the UK’s National Radiological Protection Board. Z136.4 is intended to provide guidance for measurement procedures used for classification and hazards evaluation of lasers to manufacturers, Laser Safety Officers (LSOs), and trained laser users.

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)0.021
metaresearch head score (Gemma)0.009
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.889
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0210.009
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 head0.148
GPT teacher head0.416
Teacher spread0.268 · 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
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

Citations0
Published2005
Admission routes1
Has abstractyes

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