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Study in Cationic Micellar Effect on Photogalvanics: Cetyl Pyridinium Chloride- Ethylene Diamine Tetra Acetic Acid – Safranine O System for Solar Energy Conversion and Storage

2017· article· en· W2757775463 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Technology Innovations in Renewable Energy · 2017
Typearticle
Languageen
FieldMaterials Science
TopicNonlinear Optical Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsCationic polymerizationPyridiniumMicelleChemistryMicellar solutionsEnergy conversion efficiencySolar cellMaterials sciencePolymer chemistryOrganic chemistryAqueous solutionOptoelectronics

Abstract

fetched live from OpenAlex

The Object of the Study is to observe the enhancement on photogalvanics in presence of cationic micellar species i.e. cetyl pyridinium chloride in photogalvanic cell for solar energy conversion and storage. The photogalvanic system provides the higher values in maximum current value 225.0 µA as compare to 15.0 µA in without micellar system. The power at power point of the cell is 28.12 µW as compare to 3.00 µW and storage capacity of cationic micellar system is 25.0 min. as compare to 11.0 minutes in without micellar photogalvanic cell. The conversion efficiency and i-V characteristics of the cells have been determined and a mechanism has also been proposed for the generation of electricity in photogalvanic cells having cationic micellar species and without micellar system.

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.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.876

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.016
GPT teacher head0.291
Teacher spread0.275 · 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