MétaCan
Menu
Back to cohort
Record W4200257421 · doi:10.1039/d1tc05338h

Direct conversion X-ray detectors with 70 pA cm<sup>−2</sup> dark currents coated from an alcohol-based perovskite ink

2021· article· en· W4200257421 on OpenAlexafffund
Yunlong Li, E. Adeagbo, Cyril Koughia, B. Simonson, Richard D. Pettipas, Anastasiia Mishchenko, Salman M. Arnab, Luc Laperrière, George Belev, Amy L. Stevens, Safa Kasap, Timothy L. Kelly

Bibliographic record

VenueJournal of Materials Chemistry C · 2021
Typearticle
Languageen
FieldEngineering
TopicPerovskite Materials and Applications
Canadian institutionsAnalogic (Canada)University of Saskatchewan
FundersNatural Sciences and Engineering Research Council of CanadaCanada Research ChairsUniversity of Saskatchewan
KeywordsMaterials sciencePerovskite (structure)Dark currentCurrent densityX-ray detectorDetectorAnalytical Chemistry (journal)AlcoholOptoelectronicsNuclear chemistryCrystallographyOpticsPhysicsPhotodetectorChemistryOrganic chemistry

Abstract

fetched live from OpenAlex

A poly(methyl methacrylate) blocking layer was found to reduce the dark current density in CH 3 NH 3 PbI 3 -based direct-conversion X-ray detectors to as low as 70 pA cm −2 .

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)0.000
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: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.009
GPT teacher head0.221
Teacher spread0.212 · 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

Citations25
Published2021
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Materials Chemistry CSame topicPerovskite Materials and ApplicationsFrench-language works237,207