MétaCan
Menu
Back to cohort
Record W2053105180 · doi:10.5539/jmsr.v1n1p138

Fabrication and Characterization of CuO-based Solar Cells

2011· article· en· W2053105180 on OpenAlexvenueno aff
Hiroki Kidowaki, Takeo Oku, Tsuyoshi Akiyama, Atsushi Suzuki, Balachandran Jeyadevan, Jhon Cuya

Bibliographic record

VenueJournal of Materials Science Research · 2011
Typearticle
Languageen
FieldMaterials Science
TopicCopper-based nanomaterials and applications
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceIndium tin oxideFabricationSpin coatingMicrostructureOpen-circuit voltageSolar cellLayer (electronics)IndiumOptoelectronicsOxideCopper indium gallium selenide solar cellsCharacterization (materials science)DiffractionShort circuitPhotovoltaic systemCoatingVoltageNanotechnologyComposite materialOpticsMetallurgy

Abstract

fetched live from OpenAlex

Cuprous oxide (CuO)-based solar cells with fullerene (C60) were fabricated on indium tin oxide (ITO) by a spin-coating method. The microstructure and cell performance of the solar cells with the CuO/C60 structure was investigated. A photovoltaic device based on an ITO/CuO/C60 hererojunction structure fabricated by the spin-coating method provided short-circuit current density of 0.18 mAcm-2 and open circuit voltage of 0.04 V under illumination. The crystal structure of the CuO active layer was examined by using X-ray diffraction. The energy levels of the present solar cells are also discussed.

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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.088
GPT teacher head0.346
Teacher spread0.259 · 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

Citations97
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Materials Science ResearchSame topicCopper-based nanomaterials and applicationsFrench-language works237,207