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Record W2115980065 · doi:10.1889/1.3499951

P‐38: Unique Electrical Measurement Technology for Compensation, Inspection, and Process Diagnostics of AMOLED HDTV

2010· article· en· W2115980065 on OpenAlexaff
Stefan Alexander, G. Reza Chaji, J. Marcel Dionne, Corbin Church, John W. Hamer, Arokia Nathan

Bibliographic record

VenueSID Symposium Digest of Technical Papers · 2010
Typearticle
Languageen
FieldEngineering
TopicIndustrial Vision Systems and Defect Detection
Canadian institutionsIGNIS Innovation (Canada)
Fundersnot available
KeywordsAMOLEDBackplaneCompensation (psychology)OLEDThin-film transistorMuraProcess (computing)High-definition televisionComputer scienceFactory (object-oriented programming)Materials scienceElectrical engineeringComputer hardwareLiquid-crystal displayEngineeringOptoelectronicsTelecommunicationsActive matrixNanotechnology

Abstract

fetched live from OpenAlex

Abstract A unique measurement and compensation technology for AMOLED high definition television is presented. The technique electrically measures every TFT and OLED in the backplane, useful for inspection and diagnostics in the factory, and subsequent compensation of mura, TFT‐ and OLED‐degradation.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.227
Teacher spread0.219 · 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
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

Citations4
Published2010
Admission routes1
Has abstractyes

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Same venueSID Symposium Digest of Technical PapersSame topicIndustrial Vision Systems and Defect DetectionFrench-language works237,207