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Record W4290770894 · doi:10.55900/lzqewmfg

Development and calibration of a lyophilization model for process control applications

2022· article· en· W4290770894 on OpenAlexaff
Jocelyn Bouchard, Cristina Ratti, Éric Poulin

Bibliographic record

VenueProceedings of the 22nd International Drying Symposium on Drying Technology - IDS '22 · 2022
Typearticle
Languageen
FieldEngineering
TopicAdvanced Control Systems Optimization
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsCalibrationProcess (computing)Process controlComputer scienceProcess engineeringProcess developmentEngineeringMathematicsProgramming language

Abstract

fetched live from OpenAlex

This paper addresses the development, calibration and validation of a monodimensional mathematical model to describe the primary drying of lyophilization in vials. The process representation includes equations describing the pre-and post-sublimation behavior. Heat and mass transfer parameters are calibrated using two different approaches: a well-known standard procedure, and a methodology using grey-box identification. The validated models provide a satisfactory representation of primary drying that are suitable for process control purposes, and to study spatial distribution and batch heterogeneity.

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.

How this classification was reachedexpand

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.553
Threshold uncertainty score0.661

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 science0.0010.000
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 head0.221
Teacher spread0.215 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the 22nd International Drying Symposium on Drying Technology - IDS '22Same topicAdvanced Control Systems OptimizationFrench-language works237,207