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Record W2595788288 · doi:10.1063/1.4977260

Crystallization of bovine insulin on a flow-free droplet-based platform

2017· article· en· W2595788288 on OpenAlex
Fengjuan Chen, Guanru Du, Di Yin, Ruixue Yin, Hongbo Zhang, Wenjun Zhang, Shih‐Mo Yang

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

VenueAIP conference proceedings · 2017
Typearticle
Languageen
FieldMaterials Science
TopicCrystallization and Solubility Studies
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsCrystallizationInsulinThroughputFree flowMaterials scienceFlow (mathematics)CrystallographyChemistryComputer scienceChemical engineeringMechanicsEngineeringPhysicsEndocrinologyBiology

Abstract

fetched live from OpenAlex

Crystallization is an important process in the pharmaceutical manufacturing industry. In this work, we report a study to create the zinc-free crystals of bovine insulin on a flow-free droplet-based platform we previously developed. The benefit of this platform is its promise to create a single type of crystals under a simpler and more stable environment and with a high throughput. The experimental result shows that the bovine insulin forms a rhombic dodecahedra shape and the coefficient variation (CV) in the size of crystals is less than 5%. These results are very promising for the insulin production.

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)0.002
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 score0.437
Threshold uncertainty score0.746

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.042
GPT teacher head0.276
Teacher spread0.233 · 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