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Record W1975475877 · doi:10.1021/ma902383k

Parameters Affecting the Chiral Nematic Phase of Nanocrystalline Cellulose Films

2010· article· en· W1975475877 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

VenueMacromolecules · 2010
Typearticle
Languageen
FieldMaterials Science
TopicAdvanced Cellulose Research Studies
Canadian institutionsFPInnovationsUniversity of British Columbia
Fundersnot available
KeywordsLiquid crystalNanocrystalline materialMaterials sciencePhase (matter)Field strengthCelluloseSuspension (topology)Ionic strengthMagnetic fieldChemical engineeringDichroismChemical physicsOpticsOrganic chemistryChemistryNanotechnologyOptoelectronics

Abstract

fetched live from OpenAlex

Nanocrystalline cellulose (NCC) is extracted from woody biomass using acid hydrolysis. It has unique strength and distinctive optical/conductive/magnetic properties. When a suspension of NCC is air-dried, it forms a film with unique characteristics (e.g., iridescence) linked to the formation of chiral nematic structure. In this contribution, the effects of ionic strength, temperature, suspension concentration, and exposure to magnetic field on the morphology of NCC are examined. The influence of these parameters on chiral nematic phase is investigated at a macroscopic level using circular dichroism and polarized microscopy. It is demonstrated that the addition of salt to NCC suspensions, NCC concentration, temperature, and the presence of a magnetic field all have an effect on the pitch of the chiral nematic structure. For example, drying of the NCC film in the presence of a 0.2 T external magnetic field increases the pitch, in a manner dependent on drying time. The implication of these results for the structure and properties of NCC is discussed.

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 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 score0.013
Threshold uncertainty score0.495

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.308
Teacher spread0.288 · 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