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Record W3121385050 · doi:10.1039/d0ta11302f

Surface and interface engineering for highly efficient Cu<sub>2</sub>ZnSnSe<sub>4</sub> thin-film solar cells <i>via in situ</i> formed ZnSe nanoparticles

2021· article· en· W3121385050 on OpenAlexaff
Hyesun Yoo, Jongsung Park, Mahesh P. Suryawanshi, Jiwon Lee, JunHo Kim, Kiryung Eom, Hyungtak Seo, HyoRim Jung, Dong Myeong Kim, Seung Wook Shin

Bibliographic record

VenueJournal of Materials Chemistry A · 2021
Typearticle
Languageen
FieldMaterials Science
TopicQuantum Dots Synthesis And Properties
Canadian institutionsFuture Earth
FundersMinistry of Science and ICT, South KoreaMinistry of Trade, Industry and Energy
KeywordsIn situThin film solar cellMaterials scienceNanoparticleThin filmInterface (matter)OptoelectronicsNanotechnologyChemistryComposite material

Abstract

fetched live from OpenAlex

<italic>In situ</italic> formed ZnSe NPs on the surface of CZTSe offer surface and interface engineering and provide a favourable band alignment between CZTSe and CdS leading to an improved device efficiency of 10.49%.

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)0.002
metaresearch head score (Gemma)0.000
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.208
Teacher spread0.197 · 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

Citations26
Published2021
Admission routes1
Has abstractyes

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