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Record W1976576857 · doi:10.1889/1.2433289

46.1: <i>Invited Paper</i> : a‐Si for AMOLED — Meeting the Performance and Cost Demands of Display Applications (Cell Phone to HDTV)

2006· article· en· W1976576857 on OpenAlexaff
Arokia Nathan, Stefan Alexander, Ruiqi Huang, Denis Striakhilev, Corbin Church, Paul Arsenault, Shahin Jafarabadi Ashtiani, Reza Chaji

Bibliographic record

VenueSID Symposium Digest of Technical Papers · 2006
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsIGNIS Innovation (Canada)
Fundersnot available
KeywordsAMOLEDPhoneHigh-definition televisionComputer scienceMultimediaComputer graphics (images)Computer hardwareMaterials scienceTelecommunicationsNanotechnologyActive matrixThin-film transistorLayer (electronics)

Abstract

fetched live from OpenAlex

Abstract Amorphous silicon AMOLED displays are almost ready for mass production and will be found in all display applications from high resolution cell phone to HDTV. But before commercialization can occur, the problems of lifetime and image sticking need to be overcome. When it comes to pixel circuit design, there is no one‐size‐fits‐all solution. Several drive schemes and pixel circuits are presented, each with unique advantages, and each suited for a particular application. All leverage amorphous silicon manufacturing infrastructure which leads to the lowest cost position for AMOLEDs on glass.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.033
Threshold uncertainty score0.112

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0020.001
Open science0.0000.000
Research integrity0.0030.001
Insufficient payload (model declined to judge)0.0330.016

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 head0.004
GPT teacher head0.187
Teacher spread0.184 · 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 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

Citations4
Published2006
Admission routes1
Has abstractyes

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Same venueSID Symposium Digest of Technical PapersSame topicThin-Film Transistor TechnologiesFrench-language works237,207