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Record W2170108652 · doi:10.1016/j.stam.2006.02.007

Formation of cellulose-based electrostatic layer-by-layer films in a magnetic field

2006· article· en· W2170108652 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

VenueScience and Technology of Advanced Materials · 2006
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsDiamagnetismLiquid crystalMaterials scienceCelluloseLayer (electronics)NanocrystalLayer by layerPhase (matter)Chemical engineeringPolyelectrolyteMagnetic fieldAnisotropyChemical physicsNanotechnologyCondensed matter physicsComposite materialOrganic chemistryOpticsChemistryOptoelectronicsPolymer

Abstract

fetched live from OpenAlex

Cellulose has been shown to demonstrate negative diamagnetic anisotropy, and cellulose nanocrystals dispersed in water form a stable chiral nematic liquid crystal phase above a critical concentration. We review some consequences of these two observations when the chiral nematic phase is placed in a magnetic field. Of interest was the possibility of making a layer-by-layer polyelectrolyte film, where the cellulose nanocrystal component was oriented by an applied magnetic field. Preliminary experiments indicated that orientation of the nanocrystal layer could be achieved, but the process was slow.

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)0.000
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 score0.010
Threshold uncertainty score0.519

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.008
GPT teacher head0.263
Teacher spread0.255 · 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