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Record W4285399833 · doi:10.1149/ma2022-0111820mtgabs

(Invited) Toward the Isolation of Giant C<sub>120</sub>-C<sub>200</sub> Fullertubes

2022· article· en· W4285399833 on OpenAlexaff
Cora A. Noble, Ryan M. Koenig, Chloe Annemarie Ashcroft, Hannah M. Franklin, Emmanuel Bourret, Steven Stevenson

Bibliographic record

VenueECS Meeting Abstracts · 2022
Typearticle
Languageen
FieldChemistry
TopicFullerene Chemistry and Applications
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsSurface modificationNanotechnologyPolymerDerivatizationIsolation (microbiology)Materials scienceFullereneChemical engineeringPolymer scienceChemistryComposite materialOrganic chemistryEngineering

Abstract

fetched live from OpenAlex

The newly reported purification and isolation of pristine and unfunctionalized C90 and C100 fullertubes has generated excitement due to their unique “hybrid” structure of ½-fullerene endcaps, but with a single wall nanotubular belt and mid-section. Unique features of these fullertubes include a (1) defined molecular weight, (2) reproducible structure, (3) pristine tubular belt region, and (4) natural solubility into organic solvents without functionalization or polymer wrapping. Hence, the surface of the fullertube belt region would inherently be smooth and free from surface coatings, derivatization, or oxidation. These features provide a unique molecular architecture for investigating the true nature of electronic and photophysical properties of the fullertube's tubular belt. In this presentation, we will discuss our lab’s recent progress toward the isolation of segmentally longer fullertubes of higher aspect ratios as we seek to move from C120 fullertubes to C150 fullertubes and beyond. Figure 1

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 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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.017
GPT teacher head0.222
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 teacher head, not a consensus.

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

Citations0
Published2022
Admission routes1
Has abstractyes

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