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Record W2003994345 · doi:10.1021/ma0522357

Application of an Obstruction-Scaling Model To Diffusion of Vitamin B<sub>12</sub>and Proteins in Semidilute Alginate Solutions

2005· article· en· W2003994345 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 · 2005
Typearticle
Languageen
FieldChemistry
TopicElectrostatics and Colloid Interactions
Canadian institutionsQueen's University
Fundersnot available
KeywordsDiffusionChemistryPulsed field gradientPolymerScalingGlobular proteinIonic strengthChemical physicsMyoglobinThermodynamicsAnalytical Chemistry (journal)Physical chemistryChromatographyCrystallographyPhysicsOrganic chemistryAqueous solution

Abstract

fetched live from OpenAlex

Pulsed field gradient nuclear magnetic resonance (PFG-NMR) was used to measure tracer diffusion coefficients of vitamin B 12 and globular proteins (myoglobin, β-lactoglobulin, ovalbumin, and bovine serum albumin) in semidilute alginate solutions under physiological conditions (pH 7.4, ionic strength 0.22 M). The long-time diffusion behavior can be predicted by an obstruction-scaling model, which assumes that the semidilute polymer solutions can be treated as a static network during the diffusion time scale, and the contributions of hydrodynamic interactions and electrostatic interactions to diffusion can be neglected. Arguments are given in support of these assumptions, which are expected to be valid only when the size of the probe is much larger than the polymer chain. The model was also applied to literature data of protein diffusion in flexible and inflexible polymer solutions, and it was found to be predictive. Moreover, it is demonstrated that, at equal polymer solution mesh sizes, probe diffusion is not influenced by the polymer chain flexibility.

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 score0.194
Threshold uncertainty score0.508

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 communication0.0000.000
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 head0.007
GPT teacher head0.234
Teacher spread0.227 · 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