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Record W4396890232 · doi:10.1002/cssc.202400951

Cover Feature: Advances in Hierarchical Inorganic Nanostructures for Efficient Solar Energy Harvesting Systems (ChemSusChem 11/2024)

2024· article· en· W4396890232 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueChemSusChem · 2024
Typearticle
Languageen
FieldEnergy
TopicSolar-Powered Water Purification Methods
Canadian institutionsUniversity of AlbertaUniversity of Waterloo
Fundersnot available
KeywordsRenewable energySolar energyPhotovoltaic systemEnvironmental scienceFossil fuelPhotovoltaicsSolar energy conversionClean energyNanotechnologyMaterials scienceWaste managementEnvironmental engineeringEngineeringElectrical engineering

Abstract

fetched live from OpenAlex

The Cover Feature illustrates the grave consequences of fossil fuel usage: pollution, high carbon footprints, and rapid depletion of non-renewable resources. With an impending energy crisis, there is a crucial shift towards exploring clean, renewable energy sources like solar power, thus emphasizing the significance of solar energy harvesting systems such as photovoltaic, photocatalytic, and photothermal devices for providing clean energy, fuel, and water for future generations. More information can be found in the Review by C. Manjunatha, C. K. Rastogi, A. Khosla and co-workers.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.546
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.014
GPT teacher head0.276
Teacher spread0.262 · 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