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Record W2116732915 · doi:10.1118/1.1388537

An optical edge detector for the accurate delineation of the light field in radiotherapy machines

2001· article· en· W2116732915 on OpenAlexaff
M Woo, Craig S. McParland

Bibliographic record

VenueMedical Physics · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Radiotherapy Techniques
Canadian institutionsUniversity of TorontoCancer Care OntarioSunnybrook Health Science Centre
Fundersnot available
KeywordsDetectorLight fieldObserver (physics)Quality assuranceOpticsPhotodiodeEnhanced Data Rates for GSM EvolutionField (mathematics)Stray lightPhysicsComputer scienceMedical physicsComputer visionEngineeringMathematics

Abstract

fetched live from OpenAlex

A hand-held detector was developed which allows for the unambiguous and consistent determination of the edge of the light (optical) field on treatment machines conveniently and practically. The design incorporates an electronic circuit using three miniature photodiodes. The complete module is housed conveniently in a hand-held box measuring 6 cm x 10 cm x 1.5 cm. The device eliminates any observer subjectivity on the position of the edge of the light field and hence facilitates greatly any commissioning and quality assurance procedures requiring light-radiation field coincidence. Other applications are possible, including alignment of the light field on patients.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.012
GPT teacher head0.318
Teacher spread0.306 · 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 designBench or experimental
Domainnot available
GenreMethods

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

Citations1
Published2001
Admission routes1
Has abstractyes

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