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Record W7077078180 · doi:10.1002/sdtp.18589

P‐126: Direct X‐Ray Detecting Gap‐Type Thin‐Film Transistors for Ultra‐High Spatial Resolution Flat‐Panel Image Receptors

2025· article· en· W7077078180 on OpenAlexafffund

Bibliographic record

VenueSID Symposium Digest of Technical Papers · 2025
Typearticle
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsUniversity of Waterloo
FundersWaterloo Institute for Nanotechnology, University of WaterlooUniversity of Waterloo
KeywordsPixelImage resolutionTransistorThin-film transistorImage sensorResolution (logic)

Abstract

fetched live from OpenAlex

In this paper, we propose to use Gap‐type TFT to implement the direct X‐ray detection for ultra‐high spatial resolution receptors, which are even suitable for the flexible CT applications. The device test‐key is fabricated and measured to show that the X‐ray photocurrent of Gap‐type TFT is approximate 10 nA large. The preliminary pixel estimation of the direct‐readout and passive pixel sensor are presented. This work proves that Gap‐type TFT is an extraordinary candidate for the ultra‐high spatial resolution direct X‐ray detecting system.

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 categoriesMeta-epidemiology (narrow)
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 score0.968
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.012
GPT teacher head0.230
Teacher spread0.218 · 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 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

Citations1
Published2025
Admission routes2
Has abstractyes

Explore more

Same venueSID Symposium Digest of Technical PapersSame topicGeochemistry and Geologic MappingFrench-language works237,207