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Record W2022870643 · doi:10.1139/p99-021

Properties of a-SiC:H films and solar cells

2000· article· en· W2022870643 on OpenAlexvenueno aff
R. Gharbi, M. Fathallah, Candido Fabrizio Pirri, E. Tresso, G. Crovini, Fabrizio Giorgis

Bibliographic record

VenueCanadian Journal of Physics · 2000
Typearticle
Languageen
FieldEngineering
TopicThin-Film Transistor Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsDilutionPlasma-enhanced chemical vapor depositionLayer (electronics)PhysicsHydrogenDopingOptoelectronicsDeposition (geology)Band gapChemical vapor depositionPlasmaAnalytical Chemistry (journal)OpticsMaterials scienceNanotechnologyChromatographyChemistry

Abstract

fetched live from OpenAlex

a-SiC:H samples and solar cells were made by plasma-enhanced chemical vapor deposition (PECVD) using a multichamber deposition system. The effect of light illumination on samples prepared with and without hydrogen dilution was studied. The phototransport properties of the samples prepared with high hydrogen dilution were more stable versus time of illumination than non diluted ones.The samples were inserted as an intrinsic layer in semitransparent solar cells. The performance of solar cells depends on the energy gap and thickness of the intrinsic layer. High hydrogen dilution may increase the energy gap and act to decrease the structure uniformity. The results show that open circuit voltage Voc decreases with light illumination and depends on the doped p+ layer quality and created defects in the intrinsic layer. PACS Nos.: 70, 72, 40

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)0.000
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 score0.003
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.010
GPT teacher head0.151
Teacher spread0.141 · 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

Citations10
Published2000
Admission routes1
Has abstractyes

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