MétaCan
Menu
Back to cohort
Record W2037091304 · doi:10.1002/num.21761

Multilevel computations of dispersed drug release

2012· article· en· W2037091304 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

VenueNumerical Methods for Partial Differential Equations · 2012
Typearticle
Languageen
FieldComputer Science
TopicAdvanced Mathematical Modeling in Engineering
Canadian institutionsMcMaster University
Fundersnot available
KeywordsComputationFinite element methodDiffusionSwellingApplied mathematicsPartial differential equationDrug deliveryComputer scienceMathematicsMathematical optimizationAlgorithmMaterials scienceMathematical analysisThermodynamicsPhysicsNanotechnology

Abstract

fetched live from OpenAlex

Abstract We study a mathematical model of drug release from controlled delivery systems with initial drug loading higher than solubility. The model combines dissolution, diffusion, swelling, and erosion mechanisms of drug delivery. Multilevel methods are introduced to solve the governing system of diffusion equations numerically with better accuracy and lower computational costs compared with the finite element methods. Numerical examples are given to demonstrate the advantages of the multilevel methods. Numerical solutions are compared to exact and approximate solutions of the reduced models. © 2012 Wiley Periodicals, Inc. Numer Methods Partial Differential Eq, 2013

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.915
Threshold uncertainty score0.650

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 science0.0000.000
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 head0.070
GPT teacher head0.394
Teacher spread0.324 · 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