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Record W3216835185 · doi:10.1016/j.joule.2021.12.004

Consensus statement: Standardized reporting of power-producing luminescent solar concentrator performance

2022· article· en· W3216835185 on OpenAlexafffund
Chenchen Yang, Harry A. Atwater, Marc A. Baldo, Derya Baran, Christopher J. Barile, Miles C. Barr, Matthew Bates, Moungi G. Bawendi, Matthew R. Bergren, Babak Borhan, Christoph J. Brabec, Sergio Brovelli, Vladimir Bulović, Paola Ceroni, Michael G. Debije, José‐Maria Delgado‐Sánchez, Wen‐Ji Dong, Phillip M. Duxbury, Rachel C. Evans, Stephen R. Forrest, Daniel R. Gamelin, Noel C. Giebink, Xiao Gong, Gianmarco Griffini, Fei Guo, Christopher K. Herrera, Anita Ho‐Baillie, Russell J. Holmes, Sung‐Kyu Hong, Thomas Kirchartz, Benjamin G. Levine, Hongbo Li, Yilin Li, Dianyi Liu, Maria Antonietta Loi, Christine K. Luscombe, Nikolay S. Makarov, Fahad Mateen, Raffaello Mazzaro, Hunter McDaniel, Michael D. McGehee, Francesco Meinardi, Amador Menéndez‐Velázquez, Jie Min, David B. Mitzi, Mehdi Moemeni, Jun Hyuk Moon, Andrew Nattestad, Mohammad Khaja Nazeeruddin, Ana F. Nogueira, Ulrich W. Paetzold, David L. Patrick, Andrea Pucci, Barry P. Rand, Elsa Reichmanis, Bryce S. Richards, Jean Roncali, Federico Rosei, Timothy W. Schmidt, Franky So, Chang‐Ching Tu, Aria Vahdani, Wilfried van Sark, Rafael Verduzco, Alberto Vomiero, Wallace W. H. Wong, Kaifeng Wu, Hin‐Lap Yip, Xiaowei Zhang, Haiguang Zhao, Richard R. Lunt

Bibliographic record

VenueJoule · 2022
Typearticle
Languageen
FieldChemistry
TopicPhotochemistry and Electron Transfer Studies
Canadian institutionsInstitut National de la Recherche Scientifique
FundersDivision of Chemical, Bioengineering, Environmental, and Transport SystemsCanada Research ChairsDivision of Materials ResearchKnut och Alice Wallenbergs StiftelseKempe FoundationNational Science Foundation
KeywordsChecklistPhotovoltaic systemSet (abstract data type)Characterization (materials science)Computer scienceEngineeringNanotechnologyElectrical engineeringPsychologyMaterials science

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.135
metaresearch head score (Gemma)0.163
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.865
Threshold uncertainty score0.713

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.1350.163
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0040.007
Bibliometrics0.0050.004
Science and technology studies0.0050.005
Scholarly communication0.0070.003
Open science0.0160.007
Research integrity0.0290.019
Insufficient payload (model declined to judge)0.0050.006

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 head0.018
GPT teacher head0.259
Teacher spread0.242 · 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.

Study designNot applicable
DomainReporting
GenreMethods

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

Citations139
Published2022
Admission routes2
Has abstractno

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