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Record W4376646140 · doi:10.1002/cjoc.202300144

Fluorescence of Single Conjugated Chains of <scp>MEH‐PPV</scp> Dispersed in Polymer Matrix: What Do We See in the Microscope?<sup>†</sup>

2023· article· en· W4376646140 on OpenAlex
Mingyi Xie, Marina V. Kuzimenkova, Per‐Olof Larsson, Yuxi Tian, Ivan G. Scheblykin

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

VenueChinese Journal of Chemistry · 2023
Typearticle
Languageen
FieldEngineering
TopicOrganic Electronics and Photovoltaics
Canadian institutionsMinistry of Education and Child Care
FundersFundamental Research Funds for the Central UniversitiesState Key Laboratory of Analytical Chemistry for Life SciencesVetenskapsrådetNational Natural Science Foundation of China
KeywordsChemistryFluorescenceMoleculeQuenching (fluorescence)PolymerConjugated systemBrightnessMatrix (chemical analysis)Fluorescence microscopeMicroscopeOptical microscopeMicroscopyPhotochemistryChemical physicsNanotechnologyOpticsPhysicsOrganic chemistryScanning electron microscopeChromatography

Abstract

fetched live from OpenAlex

Comprehensive Summary It has been a mystery that the detected fluorescence intensity of single MEH‐PPV molecules is much lower than expected based on their chain length. In this review, after re‐evaluating of the literature data in the light of new specially designed experiments, we present a comprehensive explanation of this issue: The actual size of MEH‐PPV molecules at single molecule level is much smaller than expected due to de‐aggregation and chain scission, while static quenching ("dark matter") also exists for large molecules, further reducing their brightness.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.008
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.006
GPT teacher head0.220
Teacher spread0.215 · 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