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Record W3002106483 · doi:10.1149/1945-7111/ab67ae

Perspective—Application of Micro Photosynthetic Power Cells for IoT in Automotive Industry

2020· article· en· W3002106483 on OpenAlexaff
Kiran Kuruvinashetti, Muthukumaran Packirisamy

Bibliographic record

VenueJournal of The Electrochemical Society · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicMicrobial Fuel Cells and Bioremediation
Canadian institutionsConcordia University
Fundersnot available
KeywordsAutomotive industryPhotosynthesisGlobal warmingPower (physics)Work (physics)Perspective (graphical)Computer scienceEnvironmental scienceRange (aeronautics)Renewable energyAutomotive engineeringProcess engineeringElectrical engineeringMechanical engineeringClimate changeBotanyEcologyEngineeringAerospace engineeringPhysicsBiologyArtificial intelligenceThermodynamics

Abstract

fetched live from OpenAlex

Global warming is increasing at the alarming rate in the recent years. One of the best solutions to reduce the global warming is generation of power from the carbon neutral and negative technologies. In view of this, harvesting energy from the photosynthesis is one of the best viable solution. The Microphotosynthetic cell (μPSC), presented in this work, functions on the principle of photosynthesis and respiration. Typical power produced by a μPSC varies in the range of 0.1–10 mW. In this paper, we discussed the potential applications of the Microphotosynthetic power cells to the automotive sector and Autonomous Vehicles (AV).

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0100.004

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 head0.005
GPT teacher head0.212
Teacher spread0.206 · 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
Published2020
Admission routes1
Has abstractyes

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Same venueJournal of The Electrochemical SocietySame topicMicrobial Fuel Cells and BioremediationFrench-language works237,207