MétaCan
Menu
Back to cohort

Study of Electrical Parameters and Energy Efficiency in Photogalvanic Cell Containing Erythrosine as a Photosensitizer in Benzethonium Chloride – EDTA System

2011· article· en· W1957722248 on OpenAlexvenueno aff
Anju Chouhan, K. R. Genwa

Bibliographic record

VenueEnergy science and technology · 2011
Typearticle
Languageen
FieldMaterials Science
TopicChemical and Physical Properties of Materials
Canadian institutionsnot available
Fundersnot available
KeywordsErythrosinePhotocurrentPhotosensitizerChemistryChloridePhotochemistryMaterials scienceOptoelectronicsChromatography

Abstract

fetched live from OpenAlex

Photogalvanic effect was studied in a photogalvanic cell containing Erythrosine as photosensitizer in Benzethonium Chloride EDTA system . A sintered filter was used in H-cell between the diffusion length. In Erythrosine - Benzethonium Chloride - EDTA system the photopotential and photocurrent were observed 890.0 mV and 250.0 mA respectively. The conversion efficiency of the system was observed 0.8282 % and fill factor was determined as 0.33. The cell performance was observed 95.0 minutes in dark. The effects of different parameters on the electrical output of the cell and current-voltage (i-V) characteristics of the cell were studied. A mechanism was also proposed for the generation of photocurrent in photogalvanic cell. Key words : Photogalvanic effect; Erythrosine; Benzethonium Chloride; Fill factor; Conversion efficiency

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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

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 head0.013
GPT teacher head0.209
Teacher spread0.195 · 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

Citations4
Published2011
Admission routes1
Has abstractyes

Explore more

Same venueEnergy science and technologySame topicChemical and Physical Properties of MaterialsFrench-language works237,207