MétaCan
Menu
Back to cohort
Record W2085017383 · doi:10.1209/epl/i2005-10034-2

Colloidal crystal formation via polymer–liquid-crystal demixing

2005· article· en· W2085017383 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

VenueEurophysics Letters (EPL) · 2005
Typearticle
Languageen
FieldMaterials Science
TopicLiquid Crystal Research Advancements
Canadian institutionsMcGill University
Fundersnot available
KeywordsLiquid crystalSpinodal decompositionMaterials scienceDisclinationColloidal crystalChemical physicsPolymerPhase (matter)Texture (cosmology)IsotropyColloidCondensed matter physicsCrystallographyOpticsComposite materialChemistryPhysical chemistryPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Simulations of the formation and structure of colloidal crystal ordering that emerge from phase-separation–phase-ordering–texture processes driven by thermal quenches of an isotropic phase of polymer–rigid-rod mesogens are presented and characterized using spinodal-decomposition measures and liquid-crystal defect physics. The positional order in the crystalline emulsion emerges from orientation-driven spinodal decomposition, and the polymer droplet lattice is pinned by a random network of disclination lines embedded in the nematic-liquid-crystalline matrix. The nematic texture is controlled by the coupling between diffusion and nematic ordering.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.064
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.012
GPT teacher head0.251
Teacher spread0.239 · 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