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Record W2952295476 · doi:10.25039/x46.2019.pp04

DETECTION OF THE STROBOSCOPIC EFFECT UNDER LOW LEVELS OF THE STROBOSCOPIC VISIBILITY MEASURE

2019· article· en· W2952295476 on OpenAlexaff
Jennifer A. Veitch, Christophe Martinsons

Bibliographic record

VenuePROCEEDINGS OF the 29th Quadrennial Session of the CIE · 2019
Typearticle
Languageen
FieldNeuroscience
TopicVisual perception and processing mechanisms
Canadian institutionsNational Research Council Canada
FundersCentre Scientifique et Technique du BâtimentPacific Northwest National LaboratoryDanmarks Tekniske Universitet
KeywordsStroboscopeVisibilitySupport vector machinePopulationComputer scienceArtificial intelligenceMeasure (data warehouse)SIGNAL (programming language)Range (aeronautics)Computer visionOpticsPhysicsEngineeringData mining

Abstract

fetched live from OpenAlex

Cyclic variations in lighting system luminous flux, known as temporal light modulation (TLM), may have visual, neurobiological, and performance and cognition effects on viewers. Researchers have derived a Stroboscopic Visibility Measure (SVM) to characterize the TLM signal in a manner that is thought to predict the visibility of the stroboscopic effect. An SVM of 1 means that the average person would detect the phenomenon 50% of the time. If there exists a broad range of visual sensitivity in the general population, setting a limit based on the average person might lead to an unacceptable risk of an adverse consequence for the most sensitive individuals. There is an absence of published data concerning the relationship of SVM to stroboscopic visibility among the general population. This experiment was conducted to provide such data, using commercially available lamps to provide a range of SVM conditions (SVM: 0; 0.4-0.6; 1.0; 1.6; and >2.0).

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.483

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
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 head0.032
GPT teacher head0.293
Teacher spread0.260 · 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 designBench or experimental
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

Citations2
Published2019
Admission routes1
Has abstractyes

Explore more

Same venuePROCEEDINGS OF the 29th Quadrennial Session of the CIESame topicVisual perception and processing mechanismsFrench-language works237,207